- A community built 50 underground storm shelters; after 5 tornadoes in 2 years, all shelters stayed undamaged and 347 users had 0 injuries, but 2 people died because they did not reach a shelter. Based on the evidence, which statement is supported by the data?
Answer: Shelters are effective because users had 0 injuries even when 23 homes above were destroyed.
This question tests 3rd grade ability to make claims about design solution effectiveness using evidence (NGSS 3-ESS3-1: make claim about merit of design solution that reduces impacts of weather-related hazard). Making claims about solution effectiveness means stating whether a solution works well at reducing hazard impacts, supported by evidence of protection provided versus limitations. Evidence includes zero injuries for all shelter users despite severe destruction above ground, demonstrating complete protection when used. In this scenario, the problem is tornadoes causing injuries and deaths. The solution implemented is 50 underground storm shelters. Evidence collected after implementation includes: 5 tornadoes in 2 years tested the shelters, all shelters stayed undamaged, 347 people used shelters with 0 injuries (100% protection rate for users), 23 homes above shelters were destroyed showing tornado severity, but 2 people died because they did not reach a shelter. The claim to evaluate is which statement is supported by the data. Choice A correct because it makes evidence-supported claim about solution effectiveness by citing specific data from the stimulus. The answer states shelters are effective because users had 0 injuries even when 23 homes above were destroyed. This accurately represents what the evidence shows—100% protection rate for 347 shelter users demonstrates effectiveness, destruction of homes above proves shelters protected people from severe tornadoes, and the contrast (destroyed homes but uninjured people below) highlights shelter effectiveness. The answer appropriately focuses on what shelters can control (protecting those who reach them) rather than what they cannot (getting everyone to them). Choice B incorrect because it contradicts evidence by claiming 'useless' when data shows 347 people protected with 0 injuries. Common error where students use all-or-nothing thinking—because tornadoes still destroy houses (which shelters aren't designed to prevent), they conclude shelters don't work. This ignores that shelters saved 347 lives by providing underground protection. Shelters work perfectly at their actual purpose: protecting people inside them, not preventing tornado damage to structures. Help students make evidence-based claims about solutions: Teach solution scope: Storm shelters protect people inside them (100% success: 347 users, 0 injuries), not prevent tornadoes or protect empty buildings. Judge effectiveness based on intended purpose. Practice analyzing complete evidence: Successes (347 protected, 0 injuries, shelters undamaged) and limitations (2 deaths of non-users) together show shelters work when used but require people to reach them. Use contrast evidence: 23 destroyed homes above vs 0 injuries below dramatically demonstrates shelter protection—same tornado, different outcomes based on shelter use. Acknowledge limitations while recognizing effectiveness: 'Shelters protected all 347 users (zero injuries) but 2 people died who didn't reach shelter in time' shows solution works when used but has access limitation. Emphasize: Highly effective solutions can still have limitations—shelters provide 100% protection when used but can't help those who don't reach them.
- During Hurricane Ike in 2008, storm surge flooded 200 buildings and caused 12 deaths in a coastal town. After a 14-foot seawall was built, Hurricane Harvey in 2017 had a 13-foot surge. Behind the wall, 15 buildings flooded and 0 people died; north of the wall without protection, 85 buildings flooded and 3 people died. Residents said the wall protected them, but it would not stop water higher than 14 feet. Based on the evidence, which statement about the seawall is supported by the data?
Answer: The seawall worked well in 2017 because flooding and deaths were much lower behind it than in 2008 and north of it.
This question tests 3rd grade ability to make claims about design solution effectiveness using evidence (NGSS 3-ESS3-1: make claim about merit of design solution that reduces impacts of weather-related hazard). Making claims about solution effectiveness means stating whether a solution works well at reducing hazard impacts, supported by evidence including before-after comparisons (2008 without wall: 200 buildings flooded, 12 deaths vs 2017 with wall: 15 buildings, 0 deaths) and protected vs unprotected area comparisons (behind wall: 15 buildings, 0 deaths vs north of wall: 85 buildings, 3 deaths). In this scenario, the problem is hurricane storm surge causing flooding and deaths—Hurricane Ike (2008) flooded 200 buildings and caused 12 deaths. The solution implemented is a 14-foot concrete seawall built by 2012. Evidence collected after implementation includes: during Hurricane Harvey (2017) with 13-foot surge, behind the wall 15 buildings flooded and 0 people died while north of the wall without protection 85 buildings flooded and 3 people died. The claim to evaluate is about the seawall's effectiveness. Choice A correct because it makes an evidence-supported claim about solution effectiveness by citing specific comparative data. The answer states "The seawall worked well in 2017" and supports it with evidence: flooding was "much lower behind it than in 2008" (15 vs 200 buildings = 92.5% reduction) and "north of it" (15 vs 85 buildings shows protected area had 82% less flooding than unprotected area), plus deaths dropped from 12 to 0 behind the wall. This uses both temporal comparison (2008 vs 2017) and spatial comparison (behind wall vs north of wall) to prove effectiveness. Shows understanding that multiple comparisons strengthen evidence for causation. Choice B incorrect because it contradicts data using all-or-nothing thinking. Common error where students conclude "did nothing" if any problem remains, ignoring massive improvements. For example, stating the seawall "did nothing because there were still 15 flooded buildings" ignores evidence showing 92.5% reduction from 200 buildings and comparison showing 82% less flooding than unprotected area. This represents highly effective protection even though not 100% perfect. Valid claims must recognize that 92.5% reduction in flooding and 100% reduction in deaths represents engineering success. Help students make evidence-based claims about solutions: Teach multiple comparison methods: Temporal comparison (before/after): 2008 no wall = 200 buildings flooded, 12 deaths. 2017 with wall = 15 buildings, 0 deaths. Shows 92.5% improvement. Spatial comparison (with/without): Behind wall = 15 buildings, 0 deaths. North of wall = 85 buildings, 3 deaths. Shows wall area had 82% less flooding. Both comparisons together prove seawall effectiveness. Practice calculating effectiveness: Buildings: 200 → 15 = 92.5% reduction over time, 85 → 15 = 82% reduction vs unprotected. Deaths: 12 → 0 = 100% reduction over time, 3 → 0 = 100% protection vs unprotected. All metrics show high effectiveness. Address all-or-nothing thinking: "Still 15 flooded" ≠ "didn't work." 15 flooded vs 200 before = worked very well. Perfect protection rare—excellent protection valuable. Context matters: 13-foot surge vs 14-foot wall = within design limits. Emphasize: Engineering effectiveness means major risk reduction, not perfection—reducing flooding by 92.5% and eliminating deaths saves lives and property, making the seawall highly successful even with some remaining flooding.
- In 2008, Hurricane Ike caused a 15-foot storm surge that flooded 200 buildings in a Texas town, caused 12 deaths, and did $50 million damage. The city built a 14-foot seawall. In 2017, Hurricane Harvey brought a 13-foot surge; behind the wall only 15 buildings flooded, there were 0 deaths, and damage was $8 million. North of the wall, 85 buildings flooded and 3 people died. Based on the evidence, is the seawall effective at reducing storm surge damage?
Answer: Yes, because the seawall guarantees no flooding even with surges higher than 14 feet.
In 3rd grade science, students learn to make claims about the effectiveness of design solutions that reduce the impacts of weather-related hazards, using evidence as outlined in NGSS 3-ESS3-1. Making claims about solution effectiveness means stating whether a solution works well at reducing hazard impacts, backed by evidence like data or observations; evidence can be quantitative such as percentage reductions or qualitative like surveys, with strong claims supported by comparisons to control groups, before-after data, multiple events, and acknowledging limitations while noting overall value. In this scenario, the problem is Hurricane Ike in 2008 causing a 15-foot storm surge that flooded 200 buildings, caused 12 deaths, and $50 million in damage; the solution is a 14-foot seawall; evidence after includes only 15 buildings flooded, 0 deaths, and $8 million damage behind the wall during a 13-foot surge in 2017, compared to 85 flooded buildings and 3 deaths north of the wall. Choice B is correct because it makes an evidence-supported claim of effectiveness by citing specific data like flooding dropping from 200 to 15 buildings and deaths from 12 to 0, using comparison to a control area without the wall to prove the solution's impact. Choice D is incorrect because it overstates the evidence by claiming the seawall guarantees no flooding even above 14 feet, which ignores the wall's height limitation and the data from a 13-foot surge, a common error of exaggerating results beyond what the evidence shows. Teach students claim-evidence structure: 'Claim: The seawall is effective at reducing surge damage. Evidence: Behind wall, flooding dropped from 200 to 15 (93% reduction) and deaths from 12 to 0, versus 85 floods and 3 deaths without it.' Use checklists to verify claims cite data, use comparisons, match magnitude (e.g., 90%+ reduction is highly effective), and avoid overstating by acknowledging limits like surge height.
- Based on the evidence, is the seawall effective at reducing hurricane flooding and deaths?
Answer: Yes, because flooding dropped from 200 to 15 and deaths dropped from 12 to 0 behind the wall.
This question tests 3rd grade ability to make claims about design solution effectiveness using evidence (NGSS 3-ESS3-1: make claim about merit of design solution that reduces impacts of weather-related hazard). Making claims about solution effectiveness means stating whether a solution works well at reducing hazard impacts, supported by evidence including quantitative data (numbers showing outcomes) and qualitative observations. Strong evidence for effectiveness includes significant reductions in negative outcomes, before-after comparisons showing improvement, and consistent results. In this scenario, the problem is hurricane flooding causing building damage and deaths. The solution implemented is a seawall. Evidence collected includes: flooded buildings dropped from 200 to 15 (92.5% reduction), deaths dropped from 12 to 0 behind the wall (100% reduction in protected area). The claim to evaluate is whether the seawall is effective. Choice B correct because it makes evidence-supported claim about solution effectiveness by citing specific data from the stimulus. The answer states the seawall is effective and supports it with evidence: flooding dropped from 200 to 15 buildings (92.5% reduction) and deaths dropped from 12 to 0 behind the wall. This accurately represents what the evidence shows—dramatic reductions demonstrate effectiveness. The answer focuses on the protected area behind the wall, which is appropriate for evaluating the solution's effectiveness. Shows understanding that claims require evidence support with specific data. Choice A incorrect because it ignores evidence and uses all-or-nothing thinking—claiming seawall "failed completely" because 15 buildings still flooded contradicts evidence showing 92.5% reduction in flooding. Common error where students require 100% perfection rather than recognizing significant reduction as effective. Choice C makes unsupported claim that seawall "makes hurricanes weaker"—this is not how seawalls work and no evidence supports this mechanism. Choice D focuses on cost rather than effectiveness data—cost alone doesn't determine effectiveness; the evidence of reduced flooding and eliminated deaths shows it works regardless of price. Help students make evidence-based claims about solutions: Teach claim-evidence structure: "Claim: The seawall is effective at reducing hurricane impacts. Evidence: Flooded buildings: 200→15 (92.5% reduction). Deaths behind wall: 12→0 (100% reduction)." Practice recognizing effective solutions don't require perfection—92.5% reduction is highly effective even though 15 buildings still flooded. Use comparison data: before/after essential to show solution caused improvement. Teach to focus on outcome data (flooding, deaths) not unrelated factors (cost, weather still occurring). Emphasize: Solutions that dramatically reduce hazard impacts are effective and valuable—preventing 185 of 200 buildings from flooding is highly effective.
- Using the data, what claim is supported about cooling centers reducing heat wave deaths?
Answer: Cooling centers are effective because deaths dropped from 24 to 3, and 2,847 people used them.
This question tests 3rd grade ability to make claims about design solution effectiveness using evidence (NGSS 3-ESS3-1: make claim about merit of design solution that reduces impacts of weather-related hazard). Making claims about solution effectiveness means stating whether a solution works well at reducing hazard impacts, supported by evidence (data, observations, measurements) not just opinions. Evidence includes quantitative data showing outcomes—deaths before and after, damage costs, percentage reductions—and qualitative data like surveys or user experiences. In this scenario, the problem is heat waves causing deaths and hospital visits. The solution implemented is cooling centers. Evidence collected includes: deaths dropped from 24 to 3 (88% reduction), 2,847 people used the centers, and hospital visits decreased from 89 to 47 (47% reduction). The claim to evaluate is about cooling center effectiveness. Choice A correct because it makes evidence-supported claim about solution effectiveness by citing specific data from the stimulus. The answer states cooling centers are effective and supports it with evidence: deaths reduced from 24 to 3, representing 88% reduction, and 2,847 people used them showing widespread adoption. This accurately represents what the evidence shows—significant reductions demonstrate effectiveness, and high usage numbers prove people accessed the solution. Shows understanding that claims require evidence support and should accurately represent data. Choice B incorrect because it ignores evidence and contradicts data—claiming centers "did not help" contradicts evidence showing 88% reduction in deaths and 47% reduction in hospital visits. Common error where students focus on the problem still existing (hot weather) rather than evaluating whether the solution reduced impacts. Choice C overstates by claiming centers "stopped all heat sickness" and hospital visits became zero, when evidence shows visits dropped to 47, not zero—significant improvement but not complete elimination. Choice D contradicts evidence by claiming centers "barely worked" when data shows major reductions in deaths and thousands of users. Help students make evidence-based claims about solutions: Teach claim-evidence structure: "Claim: Cooling centers are effective at reducing heat wave deaths. Evidence: Before centers: 24 deaths. After centers: 3 deaths. This is 88% reduction, showing significant improvement." Practice identifying strong evidence: Strong = specific numbers (deaths 24→3), clear comparisons (before/after), usage data (2,847 users). Use evidence evaluation checklist: Does claim match evidence? ✓ (88% reduction = "effective"). Cites specific data? ✓ (death numbers, user count). Uses comparison? ✓ (before/after deaths). Teach magnitude interpretation: 88% reduction = highly effective. Emphasize: Solutions that significantly reduce (not necessarily eliminate) hazard impacts are effective—saving 21 of 24 lives is highly effective even though 3 deaths still occurred.
- In City, Illinois, a 2015 heat wave (98–105°F for 9 days) caused 24 heat-related deaths and 89 hospital visits. In 2016, the city opened 10 cooling centers (air-conditioned to 75°F, free water, open 8am–8pm, rides provided). In a similar 2018 heat wave (100–107°F for 8 days), the centers served 2,847 people. Heat-related deaths were 3 and hospital visits were 47; all 3 deaths were people who did not use the centers. Based on the evidence, which conclusion about cooling centers is most accurate?
Answer: Cooling centers are effective because deaths dropped from 24 to 3 and hospital visits dropped from 89 to 47, but they only help if people use them.
This question assesses the 3rd grade science skill of making claims about the effectiveness of a design solution that reduces the impacts of a weather-related hazard, aligned with NGSS 3-ESS3-1, by evaluating evidence to determine the most accurate conclusion about cooling centers. Making claims about solution effectiveness means stating whether a solution works well at reducing hazard impacts, supported by evidence such as data, observations, or measurements, not just opinions; evidence includes quantitative data like reductions in deaths and hospital visits, before-and-after comparisons for similar heat waves, and user data showing who benefited. Claims should accurately reflect the evidence, such as 'effective' for significant reductions even if not 100%, and acknowledge limitations like the need for people to use the solution, while strong evidence shows consistent improvements and comparisons to demonstrate the solution's role. In this scenario, the problem is heat waves causing deaths and hospital visits, with baseline data from 2015 showing 24 deaths and 89 hospital visits during a 98–105°F heat wave; the solution implemented is 10 cooling centers opened in 2016, air-conditioned to 75°F with free water and rides; evidence collected after implementation includes a similar 2018 heat wave where centers served 2,847 people, deaths dropped to 3 (all non-users), and hospital visits to 47, showing an 87.5% reduction in deaths and 47% in visits; the claim to evaluate is the most accurate conclusion about cooling centers. Choice B is correct because it makes an evidence-supported claim about the solution's effectiveness by citing specific data from the stimulus, stating cooling centers are effective because deaths dropped from 24 to 3 and hospital visits from 89 to 47, using before-after comparisons for similar heat waves to show significant reductions (87.5% in deaths), and appropriately acknowledges the limitation that they only help if people use them, as all deaths were non-users, accurately representing the data without overstating complete prevention. Choice A is incorrect because it claims cooling centers are not effective due to 3 remaining deaths, which understates the evidence of an 87.5% reduction and ignores the comparison showing improvement, a common error where students focus on any leftover problems while dismissing major improvements and requiring perfect elimination rather than significant reduction supported by data. To help students make evidence-based claims about solutions, teach the claim-evidence structure: 'Claim: Cooling centers are effective at reducing heat-related impacts; Evidence: Deaths dropped from 24 to 3 (87.5% reduction) and hospital visits from 89 to 47 during similar heat waves, with all deaths among non-users.' Practice identifying strong evidence using a checklist: does the claim use comparisons like before-after, cite specific percentages, acknowledge limitations without negating success, interpret magnitude correctly (85-95% as highly effective), and avoid all-or-nothing thinking or misattributing causes like claiming the solution worsened the hazard.
- Based on the evidence, what does it show about underground storm shelters protecting people?
Answer: Shelters are effective because 347 people used them with zero injuries, and all 50 shelters stayed undamaged.
This question tests 3rd grade ability to make claims about design solution effectiveness using evidence (NGSS 3-ESS3-1: make claim about merit of design solution that reduces impacts of weather-related hazard). Making claims about solution effectiveness means stating whether a solution works well at reducing hazard impacts, supported by evidence including usage data, outcome measurements, and infrastructure performance. Strong evidence includes zero injuries among users, consistent performance across multiple events, and high user satisfaction. In this scenario, the problem is tornadoes causing injuries and deaths. The solution implemented is underground storm shelters. Evidence collected includes: 347 people used shelters with zero injuries, all 50 shelters remained undamaged through 5 tornadoes, 95% of users reported feeling safer, though 2 deaths occurred (people who didn't reach shelters). The claim to evaluate is about shelter effectiveness. Choice B correct because it makes evidence-supported claim about solution effectiveness by citing specific data from the stimulus. The answer states shelters are effective and supports it with evidence: 347 people used them with zero injuries (100% protection rate for users), and all 50 shelters stayed undamaged (100% structural integrity). This accurately represents what the evidence shows—perfect protection for those who used the solution and complete structural reliability. Shows understanding that effectiveness is measured by outcomes for users, not by preventing the hazard itself. Choice A incorrect because it ignores evidence about people protection and focuses on unrelated metric—shelters protect people, not homes above them, so home destruction doesn't indicate shelter ineffectiveness. Common error where students evaluate wrong outcome. Choice C makes false claim that "shelters stop tornadoes from happening"—shelters protect people from tornadoes, they don't prevent weather. Choice D contradicts evidence and misinterprets data—states shelters "are dangerous" when evidence shows zero injuries among 347 users; the 2 deaths were people who didn't use shelters. Help students make evidence-based claims about solutions: Teach to match solution purpose with evaluation metric: shelters designed to protect people → evaluate people safety data, not property damage. Practice interpreting protection data: 347 users with 0 injuries = 100% effective for users. 2 deaths outside shelters ≠ shelter failure. Use evidence evaluation: Does shelter protect users? ✓ (zero injuries). Does shelter stay safe? ✓ (50/50 undamaged). Clarify solution scope: shelters protect people inside them, not property or people who don't use them. Emphasize: Perfect protection for all users (0/347 injured) demonstrates high effectiveness even though solution requires people to reach and use it.
- A county bought more snowplows after a 2018 blizzard; in 2021, a similar blizzard had major roads cleared in 8 hours (before: 48), and emergency teams reached all 31 calls with 0 deaths (before: 2). Based on the evidence, how well did the snowplows work?
Answer: They worked well because roads cleared much faster and delayed-death problems dropped from 2 to 0.
This question tests 3rd grade ability to make claims about design solution effectiveness using evidence (NGSS 3-ESS3-1: make claim about merit of design solution that reduces impacts of weather-related hazard). Making claims about solution effectiveness means stating whether a solution works well at reducing hazard impacts, supported by evidence including time improvements, emergency response success, and lives saved. Evidence includes quantitative data showing dramatic improvements in response times and elimination of delayed-response deaths. In this scenario, the problem is blizzards blocking roads and preventing emergency response (2018 blizzard: major roads cleared in 48 hours, 2 deaths from delayed emergency response). The solution implemented is more snowplows. Evidence collected after implementation includes: similar 2021 blizzard had major roads cleared in 8 hours (83% faster than 48 hours), emergency teams reached all 31 calls successfully, 0 deaths from delayed response (down from 2). The claim to evaluate is how well the snowplows worked. Choice A correct because it makes evidence-supported claim about solution effectiveness by citing specific data from the stimulus. The answer states they worked well and supports it with evidence: roads cleared much faster (48 hours to 8 hours is 83% improvement) and delayed-death problems dropped from 2 to 0. This accurately represents what the evidence shows—dramatic time reduction demonstrates effectiveness, reaching all 31 emergency calls shows improved access, and eliminating delayed-response deaths (2 to 0) proves life-saving impact. The answer appropriately focuses on the solution's actual purpose: enabling faster emergency response, not stopping snow. Choice B incorrect because it ignores evidence and misunderstands solution purpose—claiming 'did not work because snow still fell' contradicts data showing 83% faster clearing and 2 lives saved. Common error where students think solutions must prevent the hazard itself (stop snow) rather than reduce its impacts (clear roads for emergency access). Snowplows don't stop blizzards from occurring but dramatically improve response capability, which is the goal. The evidence clearly shows they worked by enabling emergency teams to save lives. Help students make evidence-based claims about solutions: Teach solution purpose clarity: Snowplows reduce blizzard impacts (blocked roads, delayed emergencies), not prevent blizzards. Success = faster clearing and saved lives, not stopping snow. Practice identifying relevant metrics: For snowplows, measure road clearing time (48→8 hours) and emergency outcomes (2→0 deaths), not whether snow still falls. Use cause-effect reasoning: More snowplows → faster clearing (83% improvement) → emergency teams reach all calls → lives saved (2→0 deaths). Show complete evidence chain. Emphasize: Solutions work by reducing specific impacts—snowplows work by clearing roads 6x faster, enabling emergency response that saves lives. Watch for: confusing hazard prevention (impossible—can't stop snow) with impact reduction (possible—can clear roads), focusing on irrelevant factors (snow still falling) instead of relevant outcomes (clearing time, emergency access).
- Using the data, which conclusion about the retention pond's effectiveness is most accurate?
Answer: The pond was effective because damage costs dropped from about $200,000 to about $25,000 per year after it was built.
This question tests 3rd grade ability to make claims about design solution effectiveness using evidence (NGSS 3-ESS3-1: make claim about merit of design solution that reduces impacts of weather-related hazard). Making claims about solution effectiveness requires analyzing financial data as one form of evidence, showing cost-benefit relationships and damage reduction. Significant cost reductions demonstrate effectiveness in economic terms. In this scenario, the problem is flooding causing property damage and financial losses. The solution is a retention pond. Evidence shows: damage costs dropped from about $200,000 to about $25,000 per year (87.5% reduction), flooded homes dropped from 28 to 3 annually. The claim must accurately represent this financial improvement. Choice B correct because it makes evidence-supported claim about solution effectiveness citing specific financial data. The answer states the pond was effective because damage costs dropped from about $200,000 to about $25,000 per year after construction. This 87.5% reduction in damage costs clearly demonstrates effectiveness—the solution saves $175,000 annually. Combined with physical evidence (89% fewer flooded homes), the financial data strongly supports effectiveness. Shows understanding that cost reduction is valid effectiveness evidence. Choice A incorrect because it confuses construction cost with effectiveness—claiming "not effective because it cost $150,000" ignores that it saves $175,000 per year, paying for itself in less than one year. Common error of focusing on solution cost rather than benefit. Choice C overstates by claiming "no home ever flooded again" when evidence shows reduction to 3 homes annually—significant improvement but not elimination. Choice D contradicts evidence by claiming flooded homes "increased from 28 to 30" when data clearly shows decrease from 28 to 3. Help students make evidence-based claims about solutions: Teach cost-benefit analysis: "Cost: $150,000 to build. Benefit: Saves $175,000/year. Payback: Less than 1 year = highly effective." Practice interpreting financial evidence: 87.5% reduction in damage costs = highly effective financially. Connect multiple metrics: fewer flooded homes (28→3) explains why damage costs dropped ($200,000→$25,000). Distinguish between one-time costs and ongoing benefits: $150,000 once versus $175,000 saved every year. Emphasize: Financial data provides concrete evidence of effectiveness—saving $175,000 annually demonstrates solution works. Cost-benefit analysis shows some solutions pay for themselves quickly through prevented damage.
- Tornadoes can destroy homes and hurt people. A community built 50 underground storm shelters made of concrete near homes. After 2 years and 5 tornadoes, all 50 shelters were undamaged; 347 people used them with 0 injuries or deaths, even when 23 homes above shelters were destroyed. Two people died because they did not reach a shelter in time. Based on the evidence, is the claim supported that underground shelters are effective at protecting people?
Answer: Yes, because 347 shelter users had 0 injuries or deaths, and the shelters stayed safe in 5 tornadoes.
In 3rd grade science, students learn to make claims about the effectiveness of design solutions that reduce the impacts of weather-related hazards, using evidence as outlined in NGSS 3-ESS3-1. Making claims about solution effectiveness means asserting if a solution mitigates hazard impacts, backed by evidence like data showing reductions, not just opinions; strong evidence includes control comparisons, multiple events, quantitative drops (e.g., 90% fewer injuries), and acknowledging limitations such as accessibility issues while affirming overall success. In this scenario, the problem is tornadoes destroying homes and hurting people; the solution is building 50 underground concrete storm shelters near homes; evidence includes all 50 shelters undamaged after 5 tornadoes over 2 years, 347 users with 0 injuries or deaths, even when 23 homes above were destroyed, though 2 died not reaching shelters. Choice B is correct because it claims effectiveness supported by evidence like 347 users having 0 injuries and shelters safe in 5 tornadoes, accurately reflecting complete protection for users and multiple-trial consistency while implying the limitation of access. Choice A is incorrect because it denies effectiveness due to 23 homes destroyed above, which ignores the evidence of zero user injuries and focuses on property damage not relevant to people protection, a common error of misaligning metrics with the solution's goal. Teach claim-evidence: 'Claim: Shelters are effective at protecting people. Evidence: 347 users had 0 injuries in 5 tornadoes, though access is needed.' Emphasize checklists for matching claims to data, citing specifics, using comparisons, and recognizing limitations without negating success.
- Based on the evidence, which claim about the seawall's effectiveness is best supported?
Answer: The seawall reduced flooding and deaths behind it, but it may not work if storm surge goes above 14 feet.
This question tests 3rd grade ability to make claims about design solution effectiveness using evidence (NGSS 3-ESS3-1: make claim about merit of design solution that reduces impacts of weather-related hazard). Making claims about solution effectiveness requires accurately representing what evidence shows, including both successes and limitations. Effective solutions significantly reduce hazard impacts while acknowledging operational boundaries. In this scenario, the problem is hurricane storm surge causing flooding and deaths. The solution implemented is a 14-foot seawall. Evidence shows the seawall reduced flooding and deaths in the protected area during a 13-foot surge, but its height limit of 14 feet means larger surges could overtop it. The claim must accurately reflect both effectiveness and limitations. Choice A correct because it makes evidence-supported claim that accurately represents both solution effectiveness and limitations. The answer states seawall reduced flooding and deaths behind it (supported by data showing 92.5% reduction in flooding, 100% reduction in deaths in protected area) while acknowledging the height limitation—may not work if surge exceeds 14 feet. This balanced claim shows understanding that solutions can be effective within design parameters while having limits. Demonstrates mature thinking about engineering solutions having both benefits and constraints. Choice B incorrect because it overstates by claiming seawall "makes all storms harmless" and "flooding will never happen again"—ignores height limitation and impossibility of preventing all future flooding. Common error of absolute thinking. Choice C contradicts evidence by claiming seawall "did nothing" and makes false statement that "13 feet of storm surge is always safe"—evidence clearly shows seawall provided protection. Choice D ignores evidence of effectiveness in protected area and focuses on unprotected area—seawall only protects area behind it, not areas outside its coverage. Help students make evidence-based claims about solutions: Teach balanced claim-making: "The seawall is effective at reducing impacts from storm surges up to 14 feet, as shown by 92.5% reduction in flooding during 13-foot surge." Practice acknowledging limitations: height limit, coverage area, design specifications. Use evidence to define effectiveness range: worked at 13 feet, designed for 14 feet, may fail above that. Distinguish between "highly effective within parameters" and "perfect solution for all scenarios." Emphasize: Engineering solutions have design limits—acknowledging these while recognizing effectiveness within limits shows sophisticated understanding. A seawall that prevents 92.5% of flooding up to its design height is highly effective even though it can't handle every possible storm.
- Tornadoes can destroy homes and hurt people. A community built 50 underground storm shelters made of strong concrete that can handle 250+ mph winds and hold 6–8 people. Over 2 years, 5 tornadoes hit the area: all 50 shelters stayed undamaged, and 347 people used shelters with 0 injuries or deaths among shelter users. During those tornadoes, 23 homes above shelters were destroyed, but the people in shelters survived; 2 deaths happened when people did not reach a shelter in time. Based on the evidence, is the claim "Underground storm shelters are effective at protecting people from tornadoes" supported?
Answer: Yes, because all shelters survived 5 tornadoes and 347 users had 0 injuries or deaths, but people must reach the shelter in time.
This question assesses the 3rd grade science skill of making claims about the effectiveness of a design solution that reduces the impacts of a weather-related hazard, aligned with NGSS 3-ESS3-1, by evaluating if evidence supports the claim that underground storm shelters are effective. Making claims about solution effectiveness means stating whether a solution works well at reducing hazard impacts, supported by evidence such as data, observations, or measurements, not just opinions; evidence includes quantitative data like zero injuries among users and survival rates, comparisons over multiple events like 5 tornadoes, and outcomes showing protection when used. Strong claims accurately reflect significant protections even with limitations like needing to reach the shelter, using data to show reductions in injuries rather than requiring no deaths at all, and consistent results to demonstrate reliability. In this scenario, the problem is tornadoes destroying homes and causing injuries or deaths; the solution implemented is 50 underground storm shelters built of strong concrete to handle 250+ mph winds, each holding 6–8 people; evidence collected after implementation over 2 years includes all 50 shelters surviving 5 tornadoes undamaged, 347 users with 0 injuries or deaths, though 23 homes above were destroyed and 2 deaths occurred among non-users who didn't reach shelters; the claim to evaluate is whether underground storm shelters are effective at protecting people from tornadoes. Choice B is correct because it makes an evidence-supported claim about the solution's effectiveness by citing specific data from the stimulus, stating yes because all shelters survived 5 tornadoes and 347 users had 0 injuries or deaths, using multiple-event consistency and user outcomes to show 100% protection when used, and appropriately acknowledges the limitation that people must reach the shelter in time, accurately matching the evidence of zero harm to users despite some external deaths. Choice D is incorrect because it claims shelters never work due to 2 deaths, which cherry-picks unfavorable evidence and ignores data showing 0 injuries among 347 users across 5 events, a common error of all-or-nothing thinking where students require perfect elimination of all deaths rather than recognizing significant protection for those who use it, and failing to distinguish between users and non-users. To help students make evidence-based claims about solutions, teach the claim-evidence structure: 'Claim: Storm shelters are effective at protecting people from tornadoes; Evidence: All 50 survived 5 tornadoes with 0 injuries among 347 users, though 2 non-users died.' Practice identifying strong evidence using a checklist: does the claim cite specific data like user numbers and multiple trials, acknowledge limitations like access needs, avoid overstating to 'stops tornadoes' or understating by focusing only on failures, and use comparisons to show the solution's role in safety.
- A city opened 10 cooling centers after 24 people died in a 2015 heat wave. In a similar 2018 heat wave, 2,847 people used the centers. Heat deaths dropped to 3, and all 3 people did not use a cooling center. Hospital visits dropped from 89 to 47. Based on the evidence, which conclusion about cooling centers is most accurate?
Answer: Cooling centers are partly helpful because they reduced deaths and hospital visits, but they only help people who go.
This question tests 3rd grade ability to make claims about design solution effectiveness using evidence (NGSS 3-ESS3-1: make claim about merit of design solution that reduces impacts of weather-related hazard). Making claims about solution effectiveness means stating whether a solution works well at reducing hazard impacts, supported by evidence showing deaths dropped from 24 to 3 (87.5% reduction) and hospital visits from 89 to 47 (47% reduction). Evidence also shows all 3 deaths occurred among people who didn't use centers, proving centers protect those who access them. In this scenario, the problem is heat waves causing deaths and illness—2015 heat wave caused 24 deaths and 89 hospital visits. The solution implemented is 10 cooling centers opened with air conditioning, water, and transportation. Evidence collected after implementation includes: in 2018 heat wave, 2,847 people used centers, heat deaths dropped to 3 (all among non-users), and hospital visits dropped to 47. The claim to evaluate is about cooling center effectiveness. Choice A correct because it makes an evidence-supported claim that accurately represents both effectiveness and limitations. The answer states centers are "partly helpful" and supports this with evidence: "they reduced deaths and hospital visits" (deaths 87.5% lower, hospital visits 47% lower) "but they only help people who go" (all 3 deaths were non-users). This balanced assessment accurately represents the evidence—centers are highly effective for users but can't help those who don't access them. Shows mature understanding that solutions can be very effective within their scope while having access limitations. Choice C incorrect because it overstates effectiveness beyond what evidence shows. Common error where students exaggerate from "significant reduction" to "complete elimination." For example, claiming centers "completely ended heat sickness" and "no one needed a hospital" contradicts evidence showing 47 people still needed hospital visits. While this is 47% fewer than before (good improvement), it's not zero. The evidence shows major reduction, not complete elimination. Valid claims must accurately represent the magnitude of improvement without exaggeration. Help students make evidence-based claims about solutions: Teach accurate magnitude representation: Major reduction ≠ Complete elimination. Deaths: 24 → 3 = 87.5% reduction = "greatly reduced" not "eliminated." Hospital: 89 → 47 = 47% reduction = "significantly reduced" not "ended." Both show effectiveness without overstatement. Practice identifying access limitations: Who benefited: 2,847 people who used centers (0 deaths among users). Who didn't: People who didn't/couldn't access centers (all 3 deaths). Conclusion: Centers very effective for users but require access. Use precise language: Accurate: "partly helpful," "reduced significantly," "helped many people," "lowered deaths and illness." Inaccurate: "completely ended," "eliminated all," "no one affected," "perfect solution." Evidence supports former, not latter. Teach solution scope: What centers DO: Protect people inside them (100% effective for 2,847 users). What centers DON'T DO: Protect people who don't come, force people to use them, cool outside air. Both realities can coexist. Emphasize: Highly effective solutions that serve thousands and reduce deaths by 87.5% are public health successes—acknowledging they only help those who access them is honest assessment, not criticism.
- Before a retention pond was built, Oak Street flooded about 28 homes each year and cost about $200,000 in damage. After the pond was built, flooded homes averaged 3 per year and damage costs averaged $25,000, but a few homes still flooded in extreme storms. Based on the evidence, which claim is best supported?
Answer: The pond reduced flooding a lot, even though it did not stop every flood.
In 3rd grade science, students learn to make claims about the effectiveness of design solutions that reduce the impacts of weather-related hazards, using evidence as outlined in NGSS 3-ESS3-1. Making claims about solution effectiveness means evaluating if a solution reduces impacts, backed by data like reductions and averages, acknowledging it may not eliminate all risks; evidence strength comes from before-after comparisons, percentages, and recognizing significant but imperfect improvements. In this scenario, the problem is flooding on Oak Street affecting 28 homes yearly with $200,000 damage before the pond; the solution is building the retention pond; evidence shows flooded homes averaging 3 per year and damage at $25,000 after, though a few homes flooded in extreme storms. Choice B is correct because it claims the pond reduced flooding a lot despite not stopping every flood, supported by evidence of drops from 28 to 3 homes (89% reduction) and $200,000 to $25,000 (88% less), accurately using before-after data while noting limitations. Choice A is incorrect because it understates as 'barely helped' and deems any flooding a failure, contradicting the major reduction evidence, a common all-or-nothing error ignoring substantial progress. Teach claim-evidence: 'Claim: Pond is effective at reducing flooding. Evidence: Homes flooded dropped from 28 to 3 (89%), costs from $200,000 to $25,000, though not 100%.' Stress magnitude: 85-95% reductions are highly effective, and watch for requiring perfection.
- In Oklahoma, tornadoes can destroy homes and hurt people. A community built 50 underground storm shelters made of strong concrete with secure doors, each holding 6–8 people. Over 2 years, 5 tornadoes hit the area. All 50 shelters stayed undamaged, and 347 people used them with 0 injuries or deaths among shelter users. Also, 23 homes above shelters were destroyed, but the people in the shelters survived. Two deaths happened when people did not reach a shelter in time. Based on the evidence, what does it reveal about how well the shelters work?
Answer: The shelters are effective at protecting people who reach them, but they cannot protect people who do not get inside.
This question tests 3rd grade ability to make claims about design solution effectiveness using evidence (NGSS 3-ESS3-1: make claim about merit of design solution that reduces impacts of weather-related hazard). Making claims about solution effectiveness means stating whether a solution works well at reducing hazard impacts, supported by evidence including usage data (347 people used shelters), outcome data (0 injuries/deaths among users), and performance data (all 50 shelters undamaged, 23 homes above destroyed but people below survived). Acknowledge limitations while recognizing overall effectiveness—shelters protected all users but can't help those who don't reach them. In this scenario, the problem is tornadoes destroying homes and hurting people in Oklahoma. The solution implemented is 50 underground storm shelters made of strong concrete with secure doors, each holding 6-8 people. Evidence collected after implementation includes: over 2 years with 5 tornadoes, all 50 shelters stayed undamaged, 347 people used them with 0 injuries or deaths among shelter users, 23 homes above shelters were destroyed but people in shelters survived, and 2 deaths occurred when people did not reach shelters in time. The claim to evaluate is about how well the shelters work. Choice A correct because it makes an evidence-supported claim about solution effectiveness by accurately representing both successes and limitations. The answer states "shelters are effective at protecting people who reach them" supported by evidence: 347 users with 0 injuries/deaths (100% protection rate for users), all 50 shelters undamaged through 5 tornadoes, and people survived even when homes above were destroyed. It also acknowledges the limitation "but they cannot protect people who do not get inside" supported by the 2 deaths of people who didn't reach shelters. This shows mature understanding that solutions can be highly effective within their scope while having inherent limitations. Shows understanding that claims should accurately represent all evidence. Choice B incorrect because it contradicts data and uses all-or-nothing thinking. Common error where students require perfect elimination of all risk rather than recognizing significant protection provided. For example, calling shelters "useless" contradicts evidence showing 100% survival rate for 347 shelter users and 0 damage to all 50 shelters—this is extremely effective protection. The 23 destroyed homes actually prove shelter effectiveness because people inside underground shelters survived while structures above were destroyed. Valid claims must recognize that protecting 347 people with zero casualties represents highly effective disaster protection even if the solution has limitations. Help students make evidence-based claims about solutions: Teach balanced claim structure: "Claim: Storm shelters are highly effective at protecting users. Evidence of effectiveness: 347 people used shelters, 0 injuries/deaths among users (100% protection rate), all 50 shelters survived 5 tornadoes undamaged, people survived even when homes above destroyed. Evidence of limitations: 2 deaths among people who didn't reach shelters—shows shelters only protect those inside." Practice recognizing scope of protection: What solution CAN do = protect people inside (achieved 100%). What solution CAN'T do = protect people outside, prevent tornado, save homes above ground. Both can be true. Use protection rate analysis: 347 protected of 347 who used shelters = 100% effective for users. 2 deaths outside shelters = limitation of access/time, not shelter failure. Overall: 347 saved, 2 lost = highly effective community protection. Teach engineering design reality: No solution eliminates all risk—shelters provide near-perfect protection when used but require people to reach them in time. This is still excellent engineering that saves hundreds of lives. Emphasize: A solution that provides 100% protection to all users is engineering success—the limitation that people must reach shelters doesn't diminish the achievement of creating structures that withstand tornadoes and save everyone inside.
- In 2018, a blizzard caused businesses to close 4 days and the county lost $2 million. After buying more snowplows, a similar 2021 blizzard caused only 1 day of closures and $500,000 loss. Using the data provided, what claim about the snowplows is supported?
Answer: The snowplows were effective because 2018 had 22 inches of snow and 2021 had 24 inches of snow.
In 3rd grade science, students learn to make claims about the effectiveness of design solutions that reduce the impacts of weather-related hazards, using evidence as outlined in NGSS 3-ESS3-1. Making claims about solution effectiveness means using data to assert impact reduction, with strong evidence including reductions, comparisons, and economic metrics; claims should cite specifics accurately without irrelevant details. In this scenario, the problem is a 2018 blizzard causing 4 days of business closures and $2 million losses; the solution is buying more snowplows; evidence from a similar 2021 blizzard shows only 1 day of closures and $500,000 losses. Choice A is correct because it claims effectiveness supported by evidence of business closures dropping from 4 to 1 day and losses from $2 million to $500,000 (75% reduction), using before-after comparison to show improvement. Choice D is incorrect because it uses irrelevant snow depth data without linking to outcomes, failing to support the claim with impact evidence, a common vague or misaligned metric error. Teach claim-evidence: 'Claim: Snowplows are effective at reducing blizzard economic impacts. Evidence: Closures from 4 to 1 day, losses from $2M to $0.5M (75% drop).' Emphasize strong evidence like numbers and comparisons, avoiding weak or unrelated data.
- A city opened 10 cooling centers to help during heat waves. In 2015 (before centers), 24 people died and 89 went to the hospital for heat illness. In 2018 (with centers open), 2,847 people used the centers; 3 people died and 47 went to the hospital, and the 3 deaths were people who did not use centers. Based on the evidence, what does the evidence reveal about how well cooling centers work?
Answer: Cooling centers are effective because deaths dropped from 24 to 3 and hospital visits dropped from 89 to 47, but they cannot help people who do not come.
This question assesses the 3rd grade science skill of making claims about the effectiveness of a design solution that reduces the impacts of a weather-related hazard, aligned with NGSS 3-ESS3-1, by evaluating what the evidence reveals about how well cooling centers work. Making claims about solution effectiveness means stating whether a solution works well at reducing hazard impacts, supported by evidence such as data, observations, or measurements, not just opinions; strong evidence includes quantitative reductions in deaths and visits, before-and-after comparisons, and user-specific data like deaths only among non-users. Claims should accurately show significant reductions (e.g., 87.5% in deaths) as effective, acknowledging limitations like needing to attend without overstating to complete ending of all illness or misattributing causes. In this scenario, the problem is heat waves causing illness and deaths, with baseline data from 2015 showing 24 deaths and 89 hospital visits; the solution implemented is 10 cooling centers; evidence collected after implementation includes 2018 where 2,847 used centers, deaths dropped to 3 (all non-users, 87.5% reduction), and visits to 47 (47% reduction); the claim to evaluate is what the evidence reveals about cooling centers. Choice B is correct because it makes an evidence-supported claim about the solution's effectiveness by citing specific data from the stimulus, stating cooling centers are effective because deaths dropped from 24 to 3 and hospital visits from 89 to 47, using before-after comparisons to show significant reductions, and acknowledges they cannot help non-users, accurately matching the evidence without overstating. Choice D is incorrect because it overstates that centers completely ended all heat illness with nobody sick, contradicting data of 3 deaths and 47 visits, a common error where students exaggerate major reductions (87.5%) as total elimination, ignoring actual numbers and limitations in the evidence. To help students make evidence-based claims about solutions, teach the claim-evidence structure: 'Claim: Cooling centers are effective at reducing heat illness; Evidence: Deaths dropped 87.5% from 24 to 3 and visits 47% from 89 to 47, with deaths only among non-users.' Practice identifying strong evidence using a checklist: does the claim cite specifics like percentages, use comparisons, acknowledge limitations, avoid miscausation like blaming the solution for the hazard, and interpret magnitude correctly without all-or-nothing overstatements.
- Oak Street flooded in heavy rain: 28 homes flooded in 2018. The city built a 2-acre retention pond in 2019 to hold 2 million gallons. From 2020–2022, during 8 heavy storms, the pond filled and did not overflow onto streets. After the pond, an average of 3 homes flooded per year (about 90% fewer than 28). Flood damage costs dropped from about $200,000 per year to $25,000 per year (about 88% less). The pond cost $150,000 to build and saved about $175,000 each year. Some neighbors worried about mosquitoes, but the city treated the water. Based on the evidence, what claim about the retention pond is supported?
Answer: The pond is effective because flooded homes dropped from 28 to about 3 per year and costs fell to $25,000.
This question tests 3rd grade ability to make claims about design solution effectiveness using evidence (NGSS 3-ESS3-1: make claim about merit of design solution that reduces impacts of weather-related hazard). Making claims about solution effectiveness means stating whether a solution works well at reducing hazard impacts, supported by evidence (data, observations, measurements) not just opinions. Evidence includes quantitative data (numbers showing outcomes—deaths before and after, damage costs, percentage reductions) and qualitative data (surveys, observations, user experiences). In this scenario, the problem is flooding on Oak Street causing 28 homes to flood in 2018 with $200,000 in damage costs. The solution implemented is a 2-acre retention pond built in 2019 to hold 2 million gallons of stormwater. Evidence collected after implementation includes: the pond filled but did not overflow in 8 heavy storms from 2020-2022, flooded homes dropped from 28 to an average of 3 per year (90% reduction), and damage costs dropped from $200,000 to $25,000 per year (88% reduction). The claim to evaluate is whether the retention pond is effective. Choice B correct because it makes an evidence-supported claim about solution effectiveness by citing specific data from the stimulus. The answer states the pond is effective and supports it with evidence: "flooded homes dropped from 28 to about 3 per year" (90% reduction) and "costs fell to $25,000" (88% reduction from $200,000). This accurately represents what the evidence shows—significant reductions demonstrate effectiveness, and the before/after comparison proves it's the solution causing improvement not other factors. Shows understanding that claims require evidence support and should accurately represent data without overstating or understating. Choice A incorrect because it ignores evidence and contradicts data. Common error where students focus on any remaining problem while ignoring major improvement, requiring perfect elimination of all risk rather than significant reduction. For example, claiming "not effective" contradicts evidence showing 90% reduction in flooded homes and 88% reduction in costs—this is highly effective even though not 100% perfect. Valid claims must: (1) Be supported by provided evidence (cite specific data), (2) Accurately represent magnitude of effect (major reduction vs minor improvement), (3) Use comparisons to demonstrate effectiveness (before vs after). Help students make evidence-based claims about solutions: Teach claim-evidence structure: "Claim: The retention pond is effective at reducing flooding. Evidence: Before solution: 28 homes flooded, $200,000 damage. After solution: 3 homes flooded, $25,000 damage. This is 90% reduction in homes and 88% reduction in costs, showing significant improvement." Practice identifying strong evidence: Strong = specific numbers (28→3 homes), clear comparisons (before/after), multiple trials (worked in 8 storms), cost-benefit (saved $175,000/year vs $150,000 cost). Use evidence evaluation checklist: Does claim match evidence? ✓ (90% reduction = "effective"). Cites specific data? ✓ (28→3 homes, $200,000→$25,000). Uses comparison? ✓ (before/after pond). Emphasize: Solutions that significantly reduce (not necessarily eliminate) hazard impacts are effective and valuable—saving 25 of 28 homes from flooding (90%) is highly effective even though 3 homes still flooded.
- A county had a major blizzard in 2018 with 22 inches of snow and 40 mph winds. Roads were stuck for 48 hours on major routes and 72 hours on side roads; emergency services could not answer 23 calls and 2 people died waiting for an ambulance. The county then bought 15 more snowplows and 10 salt trucks, making 30 plows and 20 salt trucks total. In a similar 2021 blizzard (24 inches, 45 mph winds), major routes were cleared in 8 hours and side roads in 24 hours; emergency services answered all 31 calls and no one died from delays. Based on the evidence, what does the data show about the bigger snowplow fleet?
Answer: The bigger snowplow fleet is effective because roads cleared faster (48 to 8 hours) and delayed-death cases dropped from 2 to 0.
This question assesses the 3rd grade science skill of making claims about the effectiveness of a design solution that reduces the impacts of a weather-related hazard, aligned with NGSS 3-ESS3-1, by evaluating what the data shows about the bigger snowplow fleet. Making claims about solution effectiveness means stating whether a solution works well at reducing hazard impacts, supported by evidence such as data, observations, or measurements, not just opinions; strong evidence includes quantitative data like faster clearing times and reduced deaths, before-and-after comparisons for similar blizzards, and outcomes like answered emergency calls. Claims should be accurate to the evidence, claiming 'effective' for significant improvements even if snow still falls, and acknowledge that effectiveness is shown by reductions, not elimination of the hazard itself. In this scenario, the problem is blizzards causing road blockages and delayed emergency responses, with baseline data from 2018 showing 22 inches of snow leading to 48-hour clearing for major routes, 23 unanswered calls, and 2 deaths from delays; the solution implemented is adding 15 snowplows and 10 salt trucks for a total of 30 plows and 20 salt trucks; evidence collected after implementation includes a similar 2021 blizzard with major routes cleared in 8 hours, all 31 calls answered, and 0 deaths from delays, showing an 83% faster clearing time; the claim to evaluate is what the data shows about the bigger snowplow fleet. Choice A is correct because it makes an evidence-supported claim about the solution's effectiveness by citing specific data from the stimulus, stating the bigger fleet is effective because roads cleared faster from 48 to 8 hours and delayed-death cases dropped from 2 to 0, using before-after comparisons for similar blizzards to demonstrate significant improvements in response times and outcomes, accurately showing the fleet reduces impacts without claiming it stops snow. Choice B is incorrect because it claims the fleet is not effective since snow still fell, which ignores the evidence of faster clearing (83% reduction in time) and zero deaths from delays, a common error where students focus on the hazard persisting rather than the solution reducing its impacts, and fail to use comparison data to show improvement. To help students make evidence-based claims about solutions, teach the claim-evidence structure: 'Claim: The bigger snowplow fleet is effective at reducing blizzard impacts; Evidence: Clearing time dropped from 48 to 8 hours (83% faster) and delayed deaths from 2 to 0 in similar blizzards.' Practice identifying strong evidence using a checklist: does the claim cite specific numbers and before-after comparisons, match the evidence without overstating to 'perfect' or understating major gains, distinguish between reducing impacts versus eliminating the hazard, and avoid vague opinions or focusing on costs without data.
- Coastal Town built a 14-foot seawall to reduce hurricane storm surge flooding. In 2008 (before the wall), a storm surge flooded 200 buildings and 12 people died. In 2017 (after the wall), a 13-foot surge happened; behind the wall, 15 buildings flooded and 0 people died, but north of the wall (no wall) 85 buildings flooded and 3 people died. Using the data provided, which claim is best supported about the seawall?
Answer: The seawall is effective because flooding and deaths were much lower behind it than before, and lower than areas without the wall.
This question assesses the 3rd grade science skill of making claims about the effectiveness of a design solution that reduces the impacts of a weather-related hazard, aligned with NGSS 3-ESS3-1, by evaluating which claim is best supported about the seawall using the provided data. Making claims about solution effectiveness means stating whether a solution works well at reducing hazard impacts, supported by evidence such as data, observations, or measurements, not just opinions; evidence includes quantitative data like reductions in flooded buildings and deaths, before-and-after comparisons, and with-without comparisons to areas north of the wall. Strong claims accurately reflect significant reductions, such as much lower flooding behind the wall, and use data to show effectiveness without overstating to complete stoppage of the hurricane or understating remaining issues. In this scenario, the problem is hurricane storm surge flooding causing damage and deaths, with baseline data from 2008 showing 200 buildings flooded and 12 deaths; the solution implemented is a 14-foot seawall; evidence collected after implementation includes a 2017 13-foot surge where behind the wall 15 buildings flooded and 0 deaths, compared to north (no wall) with 85 flooded and 3 deaths, showing over 90% reduction in flooding and 100% in deaths behind the wall; the claim to evaluate is the best supported about the seawall. Choice B is correct because it makes an evidence-supported claim about the solution's effectiveness by citing specific data from the stimulus, stating the seawall is effective because flooding and deaths were much lower behind it than before (200 to 15 flooded, 12 to 0 deaths) and lower than areas without the wall (85 flooded, 3 deaths), using before-after and with-without comparisons to demonstrate significant reductions, accurately representing the data without overstating complete protection. Choice A is incorrect because it claims the seawall is not helpful due to some buildings still flooding, which understates the evidence of 92.5% reduction in flooded buildings and 100% in deaths, a common error where students ignore major improvements and comparisons, focusing on any remaining flooding with all-or-nothing thinking instead of recognizing significant reduction as effective. To help students make evidence-based claims about solutions, teach the claim-evidence structure: 'Claim: The seawall is effective at reducing flooding; Evidence: Flooded buildings dropped from 200 to 15 (92.5% reduction) behind the wall vs 85 without it.' Practice identifying strong evidence using a checklist: does the claim cite specific numbers and comparisons, acknowledge reductions without requiring zero issues, avoid unrelated distractors like appearance, and interpret data accurately without overstatement like 'stopped the hurricane'.
