The report states that Alloy C had the greatest tensile strength, exceeding Alloy A by 120 MPa, so the data must confirm Alloy C as highest with that exact difference from A. The table shows Alloy C at 600 MPa and Alloy A at 480 MPa, a difference of 120 MPa, while B is 530 MPa and D is 560 MPa, both lower than C. Choice B tempts by correctly calculating 560 - 480 = 80 MPa for D over A, but it misidentifies D as having the 120 MPa difference. Choice D misstates the difference for B over A as 120 MPa when it's actually 50 MPa. In table-based questions, double-check calculations like differences to ensure they align precisely with the claim.

The researchers claim that reaction time was fastest under white noise, so the data should show white noise with the lowest average time compared to the others. From the table, white noise averaged 287 ms, lower than classical music (298 ms), café noise (305 ms), and silence (312 ms). Choice D tempts by listing silence as lowest, but 312 ms is actually the highest, misinterpreting lower as slower. Choice B claims classical as lowest, but 298 ms exceeds 287 ms. Remember that in reaction time data, smaller numbers mean faster performance, so sort values ascending for 'fastest' claims.

The report claims precipitation reached its lowest level in 2021 and then increased in both 2022 and 2023, so the data must show 2021 as minimum with rises in the following years. The table lists 2021 at 81 cm, then 85 cm in 2022 and 90 cm in 2023, while 2019 was 92 cm and 2020 was 88 cm. Choice C uses 81 cm but lists subsequent years out of order (2020 and 2019), disrupting the timeline. Choice B starts with 88 cm (2020), not the lowest. In chronological tables, follow the sequence to verify trends like minima followed by increases.

The library director claims that visits increased for every age group, with the largest increase among ages 18–34, so the data must show positive changes for all and the biggest for that group. The table shows ages 18–34 rising from 1.2 to 2.0 (0.8 visits), larger than 0–17's 0.5, 35–54's 0.5, and 55+'s 0.3. Choice B accurately notes 0–17's 0.5 but claims it as biggest, which it's not. Choice D uses 55+'s smallest 0.3 as biggest. Calculate increments for each category and rank them to confirm claims about relative changes in tables.

The team’s write-up claims that Material 2 performed best, beating Material 4 by 1.6 seconds, so the data must confirm 2 as fastest with that exact difference from 4. The table shows Material 2 at 26.9 seconds and Material 4 at 28.5 seconds, a 1.6-second gap, with 2 lower than 1 (28.4) and 3 (27.6). Choice D reverses the comparison, stating 4 is faster than 2, which contradicts the values. Choice B uses 3's 27.6, which is 0.9 seconds faster than 4, not 1.6. In performance tables, lower times indicate better results, so verify minima and differences carefully.

The student claims that City B had the largest absolute rent increase, so the data must show B's dollar change as greater than the other cities'. The table indicates City B rose from $980 to $1,310 (a $330 increase), exceeding A's $220, C's $220, and D's $160. Choice D accurately calculates A's $220 but claims it as largest, which it's not. Choice B uses D's smaller $160 as largest. Compute changes for all entries and compare them to identify the true maximum in growth tables.

The researchers state that participants slept longer after limiting evening screen time, by about 0.8 hours, so the data must show an increase of roughly that amount from normal to screen-limited. The table lists normal at 6.4 hours and screen-limited at 7.2 hours, a 0.8-hour gain. Choice D uses the correct values but states 0.6 hours, miscalculating the difference. Choice B substitutes caffeine restricted (6.6) for normal, altering the comparison. Always subtract baseline from treatment values in experimental tables to verify change magnitudes.

The biologist claims that only Beach 3 showed a decline over the decade, so the data must indicate a decrease for Beach 3 and increases for the others. The table shows Beach 3 falling from 38 nests in 2015 to 33 in 2025, while Beach 1 rose from 32 to 41, Beach 2 from 27 to 30, and Beach 4 from 21 to 29. Choice B accurately describes Beach 1's increase but doesn't address the decline claim. Choice D notes Beach 4's rise, ignoring Beach 3. In change-over-time tables, compute differences for each item to spot unique trends like sole declines.

The report claims that County D has the highest percentage and exceeds County A by 9 percentage points, so the data must show D as maximum with that difference from A. The table lists D at 23% and A at 14%, a 9-point gap, with D higher than B (18%), C (20%), and E (16%). Choice C correctly calculates 23% - 18% = 5 for D over B, but it's not 9 points or the claimed counties. Choice D uses B and E for a 2-point gap, not 9. Identify the max value first, then compute the specified difference to validate claims in comparison tables.

The lab report claims that Detergent E was the fastest and 12 seconds quicker than Detergent B, so the data must show E with the lowest time and that exact difference from B. The table lists E at 37 seconds and B at 49 seconds, a 12-second gap, with E lower than all others. Choice B uses D at 41 seconds, which is 8 seconds less than B, not 12. Choice C compares E to C (45 - 37 = 8), missing the claimed pair. Calculate differences precisely and confirm the minimum value matches the 'best' or 'fastest' in performance tables.