The report claims Line 2 rose more strongly from its 2020 low by a specific amount to 2022, requiring data with the largest increase from 2020 values. The line graph depicts Line 2 rising from 42 thousand in 2020 to 60 thousand in 2022, an 18-thousand increase. Choice D uses a smaller rise from 42 to 50 thousand, understating the change to 2022. Choice B shows only a 10-thousand increase from different 2020 data. For line graphs, trace the exact time period and line specified to verify trends against the claim.

The manager's claim requires data showing Mystery's highest revenue exceeding Science Fiction by specific dollars. Choice A cites $3,400 from $12,600 (Science Fiction) to $16,000 (Mystery), as 16,000 minus 12,600 equals 3,400. Choice C uses $3,400 but reverses from $16,000 (Science Fiction) to $12,600 (Mystery), suggesting lower for Mystery. Choice B shows $2,600 from Romance to Mystery, true but wrong genre. In tables by categories, ensure comparisons and directions match to support 'more than' claims.

The analyst notes renewables (wind plus solar) exceeded coal by a specific GWh, requiring summed renewables higher than coal with matching difference. The table lists wind plus solar at 260 GWh and coal at 220 GWh, a 40 GWh excess. Choice D uses the same 40 but with coal at 200 GWh, which would actually be 60 GWh, showing inconsistent math. Choice B inflates to 60 with different sums. In tables, perform calculations like sums and differences yourself to validate stated figures.

The report claims that in Store X, card transactions exceeded cash transactions by a specific number, so we need data showing card higher than cash in that store with the correct difference. From the bar graph, Store X shows 1,080 cash transactions and 1,500 card transactions, yielding a 420-transaction difference where card exceeds cash. Choice C tempts with the same 420 difference but reverses the values, incorrectly showing cash exceeding card, which opposes the claim. Choice B calculates correctly but applies to Store Y, not the specified Store X. In graph questions, carefully match the exact categories like store names to avoid distractors with similar numbers from wrong groups.

The summary's claim requires data showing 2020's highest rainfall exceeding 2019 by a specific millimeters. From the line graph, choice A notes 140 mm from 760 mm in 2019 to 900 mm in 2020, calculating 900 minus 760 as 140. Choice C cites 140 mm but reverses from 900 in 2019 to 760 in 2020, implying lower in 2020, opposing highest. Choice B shows 120 mm from 2018 to 2020, accurate but not 2019 comparison. When reading line graphs, verify peaks and calculate differences in the correct direction for exceeding claims.

The researchers argue Treatment C produced taller plants than A by a specific amount, needing data comparing heights with the correct difference. The bar graph shows 22 cm for Treatment C and 18 cm for A, a 4 cm difference. Choice C also gives a 4 cm difference but with incorrect heights of 20 cm and 16 cm, likely a misreading of bars. Choice B understates to 3 cm using different values. When interpreting bar graphs, measure heights precisely and confirm they match the claimed comparison.

The report states that revenue increased each year with a total increase from 2021 to 2024 of a specific amount, so we need the line graph's values for those years where the difference matches the stated increase without calculation errors. Choice A effectively completes the text with 9 million, citing from 12 million in 2021 to 21 million in 2024, as 21 - 12 = 9 accurately reflects the data and the total change. Choice C states 9 million but uses from 12 to 20, which is actually only 8 million, likely a misreading of the 2024 point or an arithmetic error. Choice B and D provide consistent math for their cited values (8 million for 13 to 21, 7 million for 14 to 21), but they don't match the graph's actual revenues if it shows 12 to 21. In line graph questions about total change over time, subtract the end value from the start and ensure the choice's numbers and result align precisely with the visualized trend.

The researcher argues that reaction time was fastest (lowest milliseconds) under Bright lighting, so we need the specific value from the bar graph for that condition to complete the statement effectively. Choice B fills the blank with 255 ms, which represents the data point for Bright lighting as the lowest among the four conditions shown in the graph. A tempting distractor might be choice A with 240 ms if that value belongs to a different lighting condition, but the claim specifies Bright, highlighting the need to match the correct category. Other choices like 260 ms or 275 ms likely correspond to slower conditions, but they don't support the fastest claim for Bright. When using data from bar graphs, always locate the exact bar for the mentioned category and read its value carefully, avoiding confusion with adjacent bars or mislabeled axes.

The nonprofit claims School B outperformed School D by specific points, needing percentage data with the correct difference. The table shows School B at 64% and D at 55%, a 9-point gap. Choice C states 9 points but with D at 57%, actually 7 points, inconsistent. Choice B inflates to 11 with wrong B value. Recalculate differences in tables to verify option accuracy against the claim.

The summary notes rainfall decreased monthly from May to August, dropping from 78 mm in May to a specific amount in August, so data should show the August value fitting the decline pattern. The table lists August at 48 mm, consistent with decreases from 78 mm. Choices like D at 60 mm would not show a decrease if misreading months. In sequential data tables, confirm the direction of change across all periods mentioned.