Middle School Science Quiz: Evaluate Collision Design
20 questions · exam conditions
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Evaluate Collision DesignQuestion 1 of 20

A helmet must meet all of these: force < 500 N, weight < 300 g, cost < $30. Test results: Design B = 550 N, 200 g, $25. Based on the data, is Design B acceptable?

Yes, because it is under $30 and under 300 g
Yes, because 550 N is close enough to 500 N
No, because it fails the force requirement (550 N > 500 N)
No, because it fails the weight requirement (200 g > 300 g)
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Middle School Science Quiz

Middle School Science Quiz: Evaluate Collision Design

Practice Evaluate Collision Design in Middle School Science with focused quiz questions that help you check what you know, review explanations, and build confidence with test-style prompts.

What this quiz covers

This quiz focuses on Evaluate Collision Design, giving you a quick way to practice the rules, question types, and explanations that matter most for Middle School Science.

How to use this quiz

Try each quiz question before looking at the correct answer. Use the explanations to review missed ideas, then come back to similar questions until the pattern feels familiar.

All questions

Question 1

A helmet must meet all of these: force < 500 N, weight < 300 g, cost < $30. Test results: Design B = 550 N, 200 g, $25. Based on the data, is Design B acceptable?

  1. Yes, because it is under $30 and under 300 g
  2. Yes, because 550 N is close enough to 500 N
  3. No, because it fails the force requirement (550 N > 500 N) (correct answer)
  4. No, because it fails the weight requirement (200 g > 300 g)
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (force < 500 N, weight < 300 g, cost < $30), (2) examine test data for each design showing measured performance (Design B: 550 N, 200 g, $25), (3) compare each measurement to its criterion (550 N > 500 N ✗, 200 g < 300 g ✓, $25 < 30✓),(4)determinepass/failforeachcriterion,and(5)overallassessment(all✓=fullysuccessful,some✗=partiallysuccessful,mayneedimprovement).Thedesignthatmeetsallcriteria(ormost,ifprioritiesallowsomeflexibility)isgenerallybest,thoughtrade−offsmayrequireprioritizingcertaincriteria(safetyovercost)dependingoncontext.Forpass/faildetermination:Thisdesignfailstheforcereductioncriterion(measured550Nexceedsthe500Nthreshold✗)butmeetsweight(200g<300g✓)andcost(30 ✓), (4) determine pass/fail for each criterion, and (5) overall assessment (all ✓ = fully successful, some ✗ = partially successful, may need improvement). The design that meets all criteria (or most, if priorities allow some flexibility) is generally best, though trade-offs may require prioritizing certain criteria (safety over cost) depending on context. For pass/fail determination: This design fails the force reduction criterion (measured 550 N exceeds the 500 N threshold ✗) but meets weight (200 g < 300 g ✓) and cost (25 < $30 ✓), therefore it does not meet all requirements for acceptable collision protection—the test data provide objective evidence that the design performs inadequately in safety, so it would not be approved. Choice C is correct because it uses test data to verify the design fails the force requirement (550 N > 500 N). Choice B is wrong because it claims 550 N is close enough to 500 N, but makes a threshold comparison error by dismissing the failed criterion as unimportant when meeting all specified criteria is the goal. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence (not acceptable because 550 N > 500 N limit). When no design meets all criteria (common in real engineering), must make trade-off decisions: if it fails safety but passes others, it's typically unacceptable—context matters, but safety is key—the key is making decisions transparently using objective test data compared to clear criteria, not subjective feelings about which design 'seems better.'

Question 2

A shipping package must protect a glass item from damage. The requirement is: no damage after a 1 m drop.

Results:

  • Foam: survived
  • Bubble wrap: survived
  • Newspaper: damaged

If foam costs $3 per box, bubble wrap costs $1 per box, and newspaper costs $0.50 per box, which choice meets the protection requirement at the lowest cost?​

  1. Foam
  2. Bubble wrap (correct answer)
  3. Newspaper
  4. All three, because any cushioning helps
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (no damage after 1 m drop), (2) examine test data for each design showing measured performance (Foam: survived, Bubble wrap: survived, Newspaper: damaged), (3) compare each measurement to its criterion (survived = pass ✓, damaged = fail ✗), (4) determine pass/fail for each criterion, and (5) overall assessment (among passing designs, select based on cost). The design that meets all criteria (or most, if priorities allow some flexibility) is generally best, though trade-offs may require prioritizing certain criteria (safety over cost) depending on context. For cost optimization: Foam meets the protection requirement (survived ✓) at $3 per box, bubble wrap meets the requirement (survived ✓) at $1 per box, and newspaper fails the requirement (damaged ✗) at $0.50 per box. Among the two materials that provide adequate protection, bubble wrap is the lowest cost option at 1perbox—itsuccessfullyprotectstheglassitemwhileminimizingpackagingexpense,makingittheoptimalchoice.ChoiceBiscorrectbecausebubblewrapmeetstheprotectionrequirement(itemsurvivedthedroptest)andcostsless(1 per box—it successfully protects the glass item while minimizing packaging expense, making it the optimal choice. Choice B is correct because bubble wrap meets the protection requirement (item survived the drop test) and costs less (1) than the other passing option, foam ($3). Choice A selects foam which meets the requirement but costs three times more than bubble wrap; Choice C incorrectly selects newspaper which fails the protection requirement (item damaged), prioritizing cost savings over the must-have criterion of preventing damage; and Choice D incorrectly suggests all three are acceptable when newspaper clearly failed the drop test. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence. When optimizing for cost, first eliminate all options that fail requirements—the cheapest option that doesn't work is never the right choice.

Question 3

A bumper must prevent damage in a 5 mph collision (must-have). Test results: Design A prevents damage but is expensive. Design B is cheap but allows damage. Design C prevents damage and has medium cost. If a school program has a very limited budget but still must meet the damage-prevention requirement, which design is the best choice?

  1. Design B, because it is cheapest
  2. Design A, because it prevents damage
  3. Design C, because it prevents damage and is not as expensive as A (correct answer)
  4. None, because all designs allow damage
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (must prevent damage in 5 mph collision as must-have requirement), (2) examine test data for each design showing measured performance (A: prevents damage but expensive, B: cheap but allows damage, C: prevents damage with medium cost), (3) compare each measurement to its criterion (damage prevention is absolute, then consider budget constraints), (4) determine pass/fail for each criterion, and (5) overall assessment (balance requirements with budget reality). The design that meets all criteria (or most, if priorities allow some flexibility) is generally best, though trade-offs may require prioritizing certain criteria (safety over cost) depending on context. For budget-constrained selection: Design A prevents damage (meets must-have ✓) but is expensive (problematic for limited budget). Design B is cheap (good for budget) but allows damage (fails must-have ✗)—eliminated immediately since damage prevention is non-negotiable. Design C prevents damage (meets must-have ✓) and has medium cost (more affordable than A). Since preventing damage is an absolute requirement, Design B cannot be chosen regardless of its low cost. Between A and C, both prevent damage, but for a school program with very limited budget, Design C provides the required protection at a more manageable cost—it's the best choice that meets the must-have criterion while being most feasible within budget constraints. Choice C is correct because it properly identifies Design C as preventing damage (meeting the must-have criterion) while being more affordable than Design A, making it the best choice for a budget-limited program. Choice A incorrectly selects Design B which fails the must-have damage prevention requirement, prioritizing cost savings over safety, Choice B selects Design A which meets requirements but may be unaffordable for a very limited budget when C offers same protection cheaper, and Choice D incorrectly claims all designs allow damage when both A and C prevent damage. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence (Design C chosen because it prevents damage AND is more affordable than A—best fit for limited budget). When no design meets all criteria (common in real engineering), must make trade-off decisions: if Design A has best safety but exceeds cost by 15%, and Design B meets cost but barely fails safety by 5%, which do you choose?—typically safety wins (can find budget elsewhere, but can't compromise injury protection), but context matters (professional equipment vs school equipment have different budget realities)—the key is making decisions transparently using objective test data compared to clear criteria, not subjective feelings about which design "seems better."

Question 4

Helmet Design A was tested with these criteria: peak force must be below 500 N, weight must be less than 300 g, and cost must be under $30. Design A results: 400 N, 250 g, $35. Which criterion does Design A fail?

  1. Peak force criterion
  2. Weight criterion
  3. Cost criterion (correct answer)
  4. Design A meets all criteria
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (force must be below 500 N, weight must be less than 300 g, cost must be under $30), (2) examine test data for each design showing measured performance (Design A: force 400 N, weight 250 g, cost $35), (3) compare each measurement to its criterion (400 N < 500 N ✓, 250 g < 300 g ✓, but $35 > $30 ✗), (4) determine pass/fail for each criterion, and (5) overall assessment (identify which specific criterion is failed). The design that meets all criteria (or most, if priorities allow some flexibility) is generally best, though trade-offs may require prioritizing certain criteria (safety over cost) depending on context. For pass/fail determination: Design A meets the force reduction criterion (measured 400 N is below the 500 N threshold ✓) and the weight criterion (250 g is below 300 g limit ✓), but fails the cost criterion because $35 exceeds the $30 limit ✗—the test data provide objective evidence that while the design performs adequately on safety and weight, it exceeds the budget constraint and would need cost reduction or budget adjustment for approval. Choice C is correct because it accurately identifies the cost criterion as the one Design A fails, with test data clearly showing cost of $35 exceeds the $30 limit. Choice A incorrectly claims Design A fails the peak force criterion when 400 N is clearly below 500 N, Choice B incorrectly claims Design A fails the weight criterion when 250 g is clearly below 300 g, and Choice D incorrectly states Design A meets all criteria when it clearly fails the cost requirement. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence (Design A fails because $35 > $30 cost limit, despite meeting force and weight criteria). When no design meets all criteria (common in real engineering), must make trade-off decisions: if Design A has best safety but exceeds cost by 15%, and Design B meets cost but barely fails safety by 5%, which do you choose?—typically safety wins (can find budget elsewhere, but can't compromise injury protection), but context matters (professional equipment vs school equipment have different budget realities)—the key is making decisions transparently using objective test data compared to clear criteria, not subjective feelings about which design "seems better."

Question 5

A shoulder pad must reduce peak force below the injury threshold of 800 N. Three padding thicknesses were tested: 1 cm thick: 950 N, 2 cm thick: 750 N, 3 cm thick: 600 N. What is the minimum thickness that meets the force criterion?

  1. 1 cm
  2. 2 cm (correct answer)
  3. 3 cm
  4. None of them meet the criterion
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (force must be below 800 N injury threshold), (2) examine test data for each design showing measured performance (1 cm: 950 N, 2 cm: 750 N, 3 cm: 600 N), (3) compare each measurement to its criterion (950 N > 800 N ✗, 750 N < 800 N ✓, 600 N < 800 N ✓), (4) determine pass/fail for each criterion, and (5) overall assessment (find minimum thickness that meets requirement). The design that meets all criteria (or most, if priorities allow some flexibility) is generally best, though trade-offs may require prioritizing certain criteria (safety over cost) depending on context. For thickness optimization: The test data show that 1 cm padding reduces force to 950 N (above the 800 N threshold ✗, insufficient protection), 2 cm padding reduces force to 750 N (below threshold ✓, adequate protection), and 3 cm padding reduces to 600 N (well below threshold ✓, excellent protection but may be unnecessarily bulky/heavy). The minimum acceptable design is 2 cm thick since it's the thinnest that meets the force criterion—3 cm is safer but may trade practical usability (comfort, weight) for marginal safety improvement beyond what's required, so 2 cm represents the optimal balance of adequate protection with minimal bulk. Choice B is correct because it accurately identifies 2 cm as the minimum thickness that meets the 800 N force criterion based on test data showing 750 N < 800 N. Choice A incorrectly selects 1 cm which fails the criterion (950 N > 800 N limit), Choice C selects 3 cm which meets the criterion but isn't the minimum thickness requested, and Choice D incorrectly claims none meet the criterion when both 2 cm and 3 cm clearly do. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence (2 cm chosen because test showed 750 N force < 800 N limit—minimum thickness that meets criterion). When no design meets all criteria (common in real engineering), must make trade-off decisions: if Design A has best safety but exceeds cost by 15%, and Design B meets cost but barely fails safety by 5%, which do you choose?—typically safety wins (can find budget elsewhere, but can't compromise injury protection), but context matters (professional equipment vs school equipment have different budget realities)—the key is making decisions transparently using objective test data compared to clear criteria, not subjective feelings about which design "seems better."

Question 6

Three bicycle helmet designs were tested in the same impact test. The safety criteria are: (1) peak force must be below 500 N, (2) weight must be less than 300 g, and (3) cost must be under $30. Test results: Design A: 400 N, 250 g, $35. Design B: 550 N, 200 g, $25. Design C: 450 N, 280 g, $28. Based on the test results, which design best meets all criteria?

  1. Design A
  2. Design C (correct answer)
  3. Design B
  4. None of the designs meet all criteria
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (force must be below 500 N, weight must be under 300 g, cost must be under $30), (2) examine test data for each design showing measured performance (Design A: force 400 N, weight 250 g, cost $35), (3) compare each measurement to its criterion (400 N < 500 N ✓, 250 g < 300 g ✓, but $35 > $30 ✗), (4) determine pass/fail for each criterion, and (5) overall assessment (all ✓ = fully successful, some ✗ = partially successful, may need improvement). The design that meets all criteria (or most, if priorities allow some flexibility) is generally best, though trade-offs may require prioritizing certain criteria (safety over cost) depending on context. Evaluating systematically: Design A achieves force of 400 N (below 500 N limit ✓), weight 250 g (below 300 g limit ✓), but cost $35 (exceeds $30 limit ✗)—meets 2 of 3 criteria. Design B achieves force 550 N (exceeds 500 N limit ✗), weight 200 g (below limit ✓), cost $25 (below limit ✓)—also meets 2 of 3, but fails the critical safety criterion. Design C achieves force 450 N (below limit ✓), weight 280 g (below limit ✓), cost 28(belowlimit✓)—meetsall3criteria,makingitthebestchoicebecauseitprovidesadequateprotection(forcereducedbelowinjurythreshold)whilestayingwithinweightandcostconstraints,successfullybalancingallrequirements.ChoiceBiscorrectbecauseitaccuratelyidentifiesDesignCasmeetingallcriteriabasedontestdata.ChoiceAselectsDesignAwhichfailsthecostcriterion(28 (below limit ✓)—meets all 3 criteria, making it the best choice because it provides adequate protection (force reduced below injury threshold) while staying within weight and cost constraints, successfully balancing all requirements. Choice B is correct because it accurately identifies Design C as meeting all criteria based on test data. Choice A selects Design A which fails the cost criterion (35 > $30 limit), Choice C selects Design B which fails the critical safety criterion (550 N > 500 N limit), prioritizing cost over protection when force threshold should be absolute for preventing injury, and Choice D incorrectly claims none meet all criteria when Design C clearly does. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence (Design C chosen because test showed 450 N force < 500 N limit, 280 g weight < 300 g limit, $28 cost < $30 limit—all criteria met). When no design meets all criteria (common in real engineering), must make trade-off decisions: if Design A has best safety but exceeds cost by 15%, and Design B meets cost but barely fails safety by 5%, which do you choose?—typically safety wins (can find budget elsewhere, but can't compromise injury protection), but context matters (professional equipment vs school equipment have different budget realities)—the key is making decisions transparently using objective test data compared to clear criteria, not subjective feelings about which design "seems better."

Question 7

A vehicle bumper must prevent damage to the car in a 5 mph collision and also be affordable. Test results: Design A prevents damage but is expensive. Design B is cheap but allows damage. Design C prevents damage and has medium cost. If preventing damage is a must-have and cost matters second, which bumper design should be chosen?

  1. Design B
  2. Design A
  3. Design C (correct answer)
  4. Choose Design B because it is cheapest
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (must prevent damage in 5 mph collision as must-have, affordability matters second), (2) examine test data for each design showing measured performance (Design A: prevents damage but expensive, Design B: cheap but allows damage, Design C: prevents damage with medium cost), (3) compare each measurement to its criterion (preventing damage is absolute requirement, then consider cost), (4) determine pass/fail for each criterion, and (5) overall assessment (must-have criteria eliminate options first). The design that meets all criteria (or most, if priorities allow some flexibility) is generally best, though trade-offs may require prioritizing certain criteria (safety over cost) depending on context. Evaluating systematically with prioritized criteria: Design A prevents damage (meets must-have ✓) but is expensive (less desirable on secondary criterion). Design B is cheap (good on secondary criterion) but allows damage (fails must-have ✗)—eliminated immediately. Design C prevents damage (meets must-have ✓) and has medium cost (acceptable on secondary criterion). Since preventing damage is non-negotiable, Design B is eliminated despite being cheapest. Between A and C, both meet the must-have criterion, but C is more affordable while still preventing damage, making it the best choice that balances both requirements—it successfully meets the absolute requirement while being more cost-effective than A. Choice C is correct because it properly identifies Design C as preventing damage (meeting the must-have criterion) while being more affordable than Design A, making it the optimal choice. Choice A incorrectly selects Design B which fails the must-have criterion of preventing damage, Choice B selects Design A which meets requirements but ignores that Design C is equally effective at lower cost, and Choice D incorrectly prioritizes cost over the must-have damage prevention requirement. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence (Design C chosen because it prevents damage AND offers medium cost—best balance of requirements). When no design meets all criteria (common in real engineering), must make trade-off decisions: if Design A has best safety but exceeds cost by 15%, and Design B meets cost but barely fails safety by 5%, which do you choose?—typically safety wins (can find budget elsewhere, but can't compromise injury protection), but context matters (professional equipment vs school equipment have different budget realities)—the key is making decisions transparently using objective test data compared to clear criteria, not subjective feelings about which design "seems better."

Question 8

A fragile item must survive a 1 m drop test with no damage. Three packaging materials were tested: foam (item survives), bubble wrap (item survives), newspaper (item damaged). Which materials meet the criterion?

  1. Only foam
  2. Foam and bubble wrap (correct answer)
  3. Bubble wrap and newspaper
  4. All three materials
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (item must survive 1 m drop with no damage), (2) examine test data for each design showing measured performance (foam: survives ✓), (3) compare each measurement to its criterion (survives = ✓, damaged = ✗), (4) determine pass/fail for each criterion, and (5) overall assessment (all ✓ = fully successful, some ✗ = partially successful, may need improvement). For material comparison: Evaluating systematically: Foam survives the drop (meets criterion ✓); bubble wrap survives (meets criterion ✓); newspaper results in damage (fails criterion ✗)—thus, foam and bubble wrap meet the requirement for adequate protection during the drop test, while newspaper does not provide sufficient cushioning to prevent damage. Choice B is correct because it accurately identifies foam and bubble wrap as the materials that meet the survival criterion based on test data. Choice A is wrong because it selects only foam, ignoring that bubble wrap also survives the drop test successfully. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence (foam and bubble wrap chosen because test showed survival with no damage). When no design meets all criteria (common in real engineering), must make trade-off decisions: if one material survives but is expensive, and another barely fails but is cheap, typically protection wins, but context matters—the key is making decisions transparently using objective test data compared to clear criteria, not subjective feelings about which design 'seems better.'

Question 9

Three bicycle helmet designs were tested. Requirements: peak impact force below 500 N, weight less than 300 g, cost under $30. Results: Design A (400 N, 250 g, $35), Design B (550 N, 200 g, $25), Design C (450 N, 280 g, $28). Which criterion does Design A fail to meet?

  1. Force criterion (must be below 500 N)
  2. Weight criterion (must be less than 300 g)
  3. Cost criterion (must be under $30) (correct answer)
  4. Design A meets all three criteria
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (force must be below 500 N, weight must be under 300 g, cost must be under $30), (2) examine test data for each design showing measured performance (Design A: force 400 N, weight 250 g, cost $35), (3) compare each measurement to its criterion (400 N < 500 N ✓, 250 g < 300 g ✓, but $35 > $30 ✗), (4) determine pass/fail for each criterion, and (5) overall assessment (all ✓ = fully successful, some ✗ = partially successful, may need improvement). For failure identification: Evaluating systematically for Design A: It achieves force of 400 N (below 500 N limit ✓) and weight 250 g (below 300 g limit ✓), but cost $35 (exceeds $30 limit ✗)—thus, it fails only the cost criterion while meeting the others, indicating a need for cost optimization without compromising safety or weight. Choice C is correct because it correctly determines which criterion was failed: Design A exceeded the cost limit. Choice D is wrong because it claims Design A meets all criteria when test data clearly show cost of $35 exceeds the $30 limit. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence (cost failed because $35 > $30 limit). When no design meets all criteria (common in real engineering), must make trade-off decisions: if safety is met but cost exceeded, consider if budget can adjust—the key is making decisions transparently using objective test data compared to clear criteria, not subjective feelings about which design 'seems better.'

Question 10

A company compares three phone-case padding designs. Criteria: the phone must survive a 1.5 m drop (no cracks), and the case must cost \le \12. Test results:

  • Design A: survives ✓, cost $14
  • Design B: survives ✗, cost $10
  • Design C: survives ✓, cost $11

Which design should be chosen to meet both criteria?

  1. Design B
  2. Design A
  3. Design C (correct answer)
  4. None (no design meets both criteria)
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (must survive drop without cracks, cost must be under $12), (2) examine test data for each design showing measured performance (Design A: survives ✓, cost $14), (3) compare each measurement to its criterion (survives ✓, but $14 > $12 ✗), (4) determine pass/fail for each criterion, and (5) overall assessment (all ✓ = fully successful, some ✗ = partially successful, may need improvement). The design that meets all criteria (or most, if priorities allow some flexibility) is generally best, though trade-offs may require prioritizing certain criteria (safety over cost) depending on context. Evaluating systematically: Design A survives drop (✓) but cost $14 (exceeds $12 limit ✗)—meets 1 of 2; Design B fails survival (✗) but cost $10 (below limit ✓)—meets 1 of 2, fails critical protection; Design C survives (✓) and cost $11 (below limit ✓)—meets both criteria, making it the best choice as it balances protection and affordability. Choice C is correct because it accurately identifies Design C as meeting both criteria based on test data. Choice A selects Design B which fails the critical survival criterion, ignoring that protection is essential. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence.

Question 11

A bike helmet must meet all criteria: peak force <500 N< 500\text{ N}, weight <300 g< 300\text{ g}, cost \le \30. Test results:

  • Design A: 470 N, 310 g, $29
  • Design B: 510 N, 260 g, $27
  • Design C: 490 N, 295 g, $31

Based on the data, which statement is true?

  1. Design A meets all criteria
  2. Design B meets all criteria
  3. No design meets all criteria (correct answer)
  4. Design C meets all criteria
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (force below 500 N, weight under 300 g, cost under $30), (2) examine test data for each design showing measured performance (Design A: 470 N, 310 g, $29), (3) compare each measurement to its criterion (470 N < 500 N ✓, 310 g > 300 g ✗, $29 <= $30 ✓), (4) determine pass/fail for each criterion, and (5) overall assessment (all ✓ = fully successful, some ✗ = partially successful, may need improvement). The design that meets all criteria (or most, if priorities allow some flexibility) is generally best, though trade-offs may require prioritizing certain criteria (safety over cost) depending on context. Evaluating systematically: Design A meets force and cost but fails weight; Design B fails force but meets weight and cost; Design C meets force and weight but fails cost—none meet all three, so no design fully succeeds, highlighting need for further iteration. Choice C is correct because it uses test data to verify that no design meets all requirements. Choice D claims Design C meets all criteria when test data clearly show cost of $31 exceeds the $30 limit. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence.

Question 12

Three skateboard helmet designs are tested. Criteria: peak force must be ≤500 N\le 500\text{ N} (safety is a must-have), and cost should be \le \30 (preferred). Test results:

  • Design A: 390 N, $45
  • Design B: 520 N, $20
  • Design C: 480 N, $32

If safety is the top priority (must pass the force limit), which design should be chosen?

  1. Design B, because it is the cheapest
  2. Design A, because it has the lowest force (correct answer)
  3. Design C, because it is closest to the cost goal
  4. None, because all designs fail the force limit
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (force must be below 500 N as must-have, cost under $30 preferred), (2) examine test data for each design showing measured performance (Design A: 390 N, $45), (3) compare each measurement to its criterion (390 N < 500 N ✓, but $45 > $30), (4) determine pass/fail for each criterion, and (5) overall assessment (all ✓ = fully successful, some ✗ = partially successful, may need improvement). The design that meets all criteria (or most, if priorities allow some flexibility) is generally best, though trade-offs may require prioritizing certain criteria (safety over cost) depending on context. Evaluating systematically: Design A achieves 390 N (below limit ✓, best safety) but $45 (over preferred); Design B 520 N (exceeds limit ✗), $20; Design C 480 N (below limit ✓) but $32 (over preferred)—since safety is top priority, eliminate B; between A and C, A has lowest force (safest), making it the best choice despite higher cost. Choice B is correct because it accurately identifies Design A as having the lowest force among those meeting the safety priority. Choice A selects Design B which fails the critical safety criterion (520 N > 500 N limit), prioritizing cost over protection. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence.

Question 13

A shipping team tests three cushioning materials to protect a fragile glass ornament. Criterion: the ornament must survive a 1.0 m drop with no cracks. Test results:

  • Foam: survives ✓
  • Bubble wrap: survives ✓
  • Newspaper: cracks ✗

Which materials meet the criterion?

  1. Foam only
  2. Bubble wrap only
  3. Newspaper only
  4. Foam and bubble wrap (correct answer)
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (must survive drop without cracks), (2) examine test data for each design showing measured performance (Foam: survives ✓), (3) compare each measurement to its criterion (survives ✓), (4) determine pass/fail for each criterion, and (5) overall assessment (all ✓ = fully successful, some ✗ = partially successful, may need improvement). The design that meets all criteria (or most, if priorities allow some flexibility) is generally best, though trade-offs may require prioritizing certain criteria (safety over cost) depending on context. Evaluating systematically: Foam survives (✓), bubble wrap survives (✓), newspaper cracks (✗)—so foam and bubble wrap meet the criterion, making them suitable for protection, while newspaper fails to provide adequate cushioning. Choice D is correct because it accurately identifies foam and bubble wrap as meeting the criterion based on test data. Choice C selects newspaper only which fails the survival criterion, ignoring the crack in test results. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence.

Question 14

Three bicycle helmet designs were tested. Requirements: peak impact force below 500 N, weight less than 300 g, cost under $30. Results: Design A (400 N, 250 g, $35), Design B (550 N, 200 g, $25), Design C (450 N, 280 g, $28). If safety (force below 500 N) is the only must-have requirement and cost/weight are secondary, which helmet(s) meet the must-have requirement?

  1. Design A and Design C (correct answer)
  2. Design B only
  3. Design A only
  4. Design A, Design B, and Design C
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (must-have: force below 500 N; secondary: weight <300 g, cost <$30), (2) examine test data for each design showing measured performance (Design A: force 400 N ✓), (3) compare each measurement to its criterion (400 N < 500 N ✓), (4) determine pass/fail for each criterion, and (5) overall assessment (all ✓ = fully successful, some ✗ = partially successful, may need improvement). For must-have focus: Evaluating systematically: Design A achieves force 400 N (below 500 N ✓); Design B 550 N (above 500 N ✗); Design C 450 N (below 500 N ✓)—thus, Design A and Design C meet the safety must-have, while secondary criteria can be considered next for optimization. Choice A is correct because it accurately identifies Design A and Design C as meeting the must-have safety criterion based on test data. Choice B is wrong because it selects only Design B, which fails the safety criterion (550 N > 500 N limit). Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence (A and C because 400 N < 500 N and 450 N < 500 N). When no design meets all criteria (common in real engineering), must make trade-off decisions: prioritize must-haves like safety, then address secondary—the key is making decisions transparently using objective test data compared to clear criteria, not subjective feelings about which design 'seems better.'

Question 15

A vehicle bumper must prevent vehicle damage in a 5 mph collision. Test results: Design A prevents damage but is expensive; Design B is cheap but allows damage; Design C balances cost and protection (prevents damage with medium cost). Which statement best describes the trade-off between Design A and Design C?

  1. Design A and Design C both allow damage, but Design A is cheaper
  2. Design A prevents damage but costs more; Design C also prevents damage with lower cost (correct answer)
  3. Design C is cheaper but provides less protection than Design B
  4. Design C is the most expensive and provides the least protection
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (must prevent damage in 5 mph collision), (2) examine test data for each design showing measured performance (Design A: prevents damage but expensive), (3) compare each measurement to its criterion (prevents damage ✓), (4) determine pass/fail for each criterion, and (5) overall assessment (all ✓ = fully successful, some ✗ = partially successful, may need improvement). For trade-off description: Evaluating systematically: Design A prevents damage (meets criterion ✓) but costs more; Design C also prevents damage (meets criterion ✓) with lower (medium) cost—highlighting the trade-off where Design C offers similar protection at better affordability, making it preferable when balancing requirements. Choice B is correct because it accurately describes the trade-off between Design A and C based on test data, noting both prevent damage but C has lower cost. Choice A is wrong because it claims A and C both allow damage, when test data show both prevent damage. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence (trade-off noted because both meet prevention, but C cheaper). When no design meets all criteria (common in real engineering), must make trade-off decisions: prioritize must-haves like protection, then optimize secondary like cost—the key is making decisions transparently using objective test data compared to clear criteria, not subjective feelings about which design 'seems better.'

Question 16

A fragile item must survive a 1 m drop test with no damage. Test results: foam (survives), bubble wrap (survives), newspaper (damaged). If a student must choose the cheapest option that still meets the criterion, which choice is valid based on the test results?

  1. Newspaper, because it is usually cheapest
  2. Foam or bubble wrap (either works), then pick the cheaper of those two (correct answer)
  3. Only newspaper, because the others are too protective
  4. All three materials meet the criterion, so choose any
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (item must survive 1 m drop with no damage, choose cheapest that meets it), (2) examine test data for each design showing measured performance (foam: survives ✓), (3) compare each measurement to its criterion (survives = ✓, damaged = ✗), (4) determine pass/fail for each criterion, and (5) overall assessment (all ✓ = fully successful, some ✗ = partially successful, may need improvement). For cheapest selection: Evaluating systematically: Foam survives (meets criterion ✓); bubble wrap survives (meets criterion ✓); newspaper results in damage (fails criterion ✗)—thus, select from foam or bubble wrap (either works) and pick the cheaper one to balance protection with cost efficiency. Choice B is correct because it properly compares materials, eliminating newspaper for failing the drop test and then prioritizing cost among those that meet the criterion. Choice A is wrong because it selects newspaper as cheapest, ignoring that test data show it fails the survival criterion (item damaged). Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence (foam or bubble wrap because both survive, then choose cheaper). When no design meets all criteria (common in real engineering), must make trade-off decisions: if the cheapest fails protection, prioritize safety and find cost savings elsewhere—the key is making decisions transparently using objective test data compared to clear criteria, not subjective feelings about which design 'seems better.'

Question 17

A fragile item must survive a 1 m drop test with no damage. Test results: foam (survives), bubble wrap (survives), newspaper (damaged). A new rule is added: the packaging must also be lightweight, but no weights are given. Based only on the test data provided, what is the best conclusion?

  1. Foam definitely fails the lightweight rule
  2. Newspaper is best because it is lightweight
  3. Foam and bubble wrap meet the drop-test criterion; lightweight cannot be evaluated with the given data (correct answer)
  4. All three meet the drop-test criterion, so weight does not matter
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (must survive 1 m drop with no damage; added: lightweight, but no data), (2) examine test data for each design showing measured performance (foam: survives ✓), (3) compare each measurement to its criterion (survives = ✓, damaged = ✗), (4) determine pass/fail for each criterion, and (5) overall assessment (all ✓ = fully successful, some ✗ = partially successful, may need improvement). For incomplete data scenario: Evaluating systematically based on given data: Foam survives (meets drop criterion ✓); bubble wrap survives (meets ✓); newspaper damaged (fails ✗)—the lightweight rule cannot be evaluated without weight data, so conclusions are limited to the drop-test results, identifying foam and bubble wrap as meeting the provided criterion. Choice C is correct because it uses test data to verify which meet the drop requirement and notes that lightweight cannot be assessed without data. Choice D is wrong because it claims all three meet the drop-test criterion, ignoring that newspaper fails (item damaged). Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence (foam and bubble wrap meet drop because survives; no weight data). When no design meets all criteria (common in real engineering), must make trade-off decisions: if data is missing, avoid assumptions and base on available evidence—the key is making decisions transparently using objective test data compared to clear criteria, not subjective feelings about which design 'seems better.'

Question 18

Shoulder pad prototypes were tested. Injury threshold: force must be below 800 N. Test results: 1 cm padding = 950 N, 2 cm padding = 750 N, 3 cm padding = 600 N. What is the minimum thickness that meets the safety criterion?

  1. 1 cm
  2. 2 cm (correct answer)
  3. 3 cm
  4. None of them meet the criterion
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (force must be below 800 N), (2) examine test data for each design showing measured performance (1 cm padding: 950 N), (3) compare each measurement to its criterion (950 N > 800 N ✗), (4) determine pass/fail for each criterion, and (5) overall assessment (all ✓ = fully successful, some ✗ = partially successful, may need improvement). For thickness optimization: The test data show that 1 cm padding reduces force to 950 N (above the 800 N threshold ✗, insufficient protection), 2 cm padding reduces force to 750 N (below threshold ✓, adequate protection), and 3 cm padding reduces to 600 N (well below threshold ✓, excellent protection but may be unnecessarily bulky/heavy); the minimum acceptable design is 2 cm thick since it's the thinnest that meets the force criterion—3 cm is safer but may trade practical usability (comfort, weight) for marginal safety improvement beyond what's required, so 2 cm represents the optimal balance of adequate protection with minimal bulk. Choice B is correct because it correctly determines the minimum thickness that meets the safety criterion based on test data. Choice A is wrong because it selects 1 cm, which exceeds the force limit (950 N > 800 N), failing the criterion. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence (2 cm chosen because test showed 750 N < 800 N limit). When no design meets all criteria (common in real engineering), must make trade-off decisions: if a thicker option exceeds requirements but adds weight, choose minimal that passes— the key is making decisions transparently using objective test data compared to clear criteria, not subjective feelings about which design 'seems better.'

Question 19

Three bicycle helmet designs were tested. Requirements: keep peak impact force below 500 N, weigh less than 300 g, and cost under $30. Test results: Design A (force 400 N, weight 250 g, cost $35), Design B (force 550 N, weight 200 g, cost $25), Design C (force 450 N, weight 280 g, cost $28). Based on the test results, which design best meets all requirements?

  1. Design A
  2. Design B
  3. Design C (correct answer)
  4. All three designs meet all requirements
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (force must be below 500 N, weight must be under 300 g, cost must be under $30), (2) examine test data for each design showing measured performance (Design A: force 400 N, weight 250 g, cost $35), (3) compare each measurement to its criterion (400 N < 500 N ✓, 250 g < 300 g ✓, but $35 > $30 ✗), (4) determine pass/fail for each criterion, and (5) overall assessment (all ✓ = fully successful, some ✗ = partially successful, may need improvement). For three-design comparison: Evaluating systematically: Design A achieves force of 400 N (below 500 N limit ✓), weight 250 g (below 300 g limit ✓), but cost $35 (exceeds $30 limit ✗)—meets 2 of 3 criteria; Design B achieves force 550 N (exceeds 500 N limit ✗), weight 200 g (below limit ✓), cost $25 (below limit ✓)—also meets 2 of 3, but fails the critical safety criterion; Design C achieves force 450 N (below limit ✓), weight 280 g (below limit ✓), cost $28 (below limit ✓)—meets all 3 criteria, making it the best choice because it provides adequate protection (force reduced below injury threshold) while staying within weight and cost constraints, successfully balancing all requirements. Choice C is correct because it accurately identifies Design C as meeting all criteria based on test data. Choice D is wrong because it claims all three designs meet all requirements when test data clearly show Design A exceeds the cost limit and Design B exceeds the force limit. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence (Design C chosen because test showed 450 N force < 500 N limit, 280 g weight < 300 g limit, $28 cost < $30 limit—all criteria met). When no design meets all criteria (common in real engineering), must make trade-off decisions: if Design A has best safety but exceeds cost by 15%, and Design B meets cost but barely fails safety by 5%, which do you choose?—typically safety wins (can find budget elsewhere, but can't compromise injury protection), but context matters (professional equipment vs school equipment have different budget realities)—the key is making decisions transparently using objective test data compared to clear criteria, not subjective feelings about which design 'seems better.'

Question 20

Three padding thicknesses were tested for a shoulder pad. Criterion: peak force must be below 800 N. Results: 1 cm: 950 N, 2 cm: 750 N, 3 cm: 600 N. Which thicknesses meet the criterion?

  1. 1 cm only
  2. 2 cm only
  3. 2 cm and 3 cm (correct answer)
  4. 1 cm, 2 cm, and 3 cm
Explanation: This question tests understanding of how to evaluate collision protection designs by comparing test results to specified criteria and determining which design best meets the requirements. Evaluating designs requires systematic comparison: (1) identify all criteria with specific thresholds (peak force must be below 800 N), (2) examine test data for each design showing measured performance (1 cm: 950 N, 2 cm: 750 N, 3 cm: 600 N), (3) compare each measurement to its criterion (950 N > 800 N ✗, 750 N < 800 N ✓, 600 N < 800 N ✓), (4) determine pass/fail for each criterion, and (5) overall assessment (identify all thicknesses that pass). The design that meets all criteria (or most, if priorities allow some flexibility) is generally best, though trade-offs may require prioritizing certain criteria (safety over cost) depending on context. For comprehensive evaluation: The test data show that 1 cm padding reduces force to 950 N (above the 800 N threshold ✗, fails criterion), 2 cm padding reduces force to 750 N (below 800 N threshold ✓, meets criterion), and 3 cm padding reduces to 600 N (below 800 N threshold ✓, meets criterion). Since the question asks which thicknesses meet the criterion (not just the minimum), both 2 cm and 3 cm qualify as acceptable designs—both successfully reduce force below the injury threshold, with 3 cm providing additional safety margin beyond the requirement. Choice C is correct because it accurately identifies both 2 cm and 3 cm as meeting the criterion, with test data showing 750 N < 800 N and 600 N < 800 N respectively. Choice A incorrectly includes only 1 cm which fails (950 N > 800 N), Choice B incorrectly includes only 2 cm while excluding 3 cm which also meets the criterion, and Choice D incorrectly includes 1 cm which clearly fails the 800 N threshold. Evaluation best practices: (1) check each design against each criterion individually (don't assume, actually compare numbers), (2) identify which criteria are absolute must-pass (safety thresholds usually non-negotiable) vs which have flexibility (cost might be flexible if performance worth it), (3) look for designs meeting all must-pass criteria first (eliminate designs that fail safety), (4) among remaining options, select based on how well they meet other criteria or priorities, and (5) document reasoning with evidence (2 cm and 3 cm both chosen because tests showed 750 N < 800 N and 600 N < 800 N—both meet criterion). When no design meets all criteria (common in real engineering), must make trade-off decisions: if Design A has best safety but exceeds cost by 15%, and Design B meets cost but barely fails safety by 5%, which do you choose?—typically safety wins (can find budget elsewhere, but can't compromise injury protection), but context matters (professional equipment vs school equipment have different budget realities)—the key is making decisions transparently using objective test data compared to clear criteria, not subjective feelings about which design "seems better."