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One of the three abilities in the Information and Ideas domain, which accounts for over 26% of SAT Reading and Writing, the largest domain on the Digital SAT verbal part, is Command of Evidence (Quantitative). Thirty free Command of Evidence (Quantitative) practice questions centered around tables, bar graphs, and line graphs are available on this page, each with a completed solution. This skill, in contrast to SAT Math, does not need math; instead, it involves accurately analyzing a chart or table and determining which particular data point logically completes an assertion. The problem is precision under a time crunch: identifying the number that meets the claim’s particular condition, not just a figure that’s in the proper general area of the chart.
Key Takeaways Before You Start
In This Guide: 30 Questions Across 7 Skill Types
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The most basic version of this skill is presented in these questions, which challenge you to find one precise value that completes a claim in a straightforward data table.
The information that follows is accompanied by a table that displays the findings of a survey on the most popular ways to commute in four different cities.
| City | Public Transit | Car | Bike/Walk |
|---|---|---|---|
| Riverside | 22% | 61% | 17% |
| Lakeview | 48% | 31% | 21% |
| Hillcrest | 35% | 44% | 21% |
| Brookfield | 15% | 70% | 15% |
Claim: Among the four cities tested, Brookfield residents indicated the ______ reliance on vehicles as a commute method.
Which choice most effectively uses data from the table to complete the claim?
A) lowest
B) highest
C) second-highest
D) average
Correct Answer: B) highest
Of the four cities mentioned (61%, 31%, 44%, and 70%), Brookfield has the largest percentage of cars (70%). This may be directly verified by finding the Brookfield row and comparing it to the other three rows in the same column.
A table displaying the average monthly rainfall (in inches) for three regions is included with the content that follows.
| Region | March | June | September |
|---|---|---|---|
| Coastal Valley | 3.2 | 0.8 | 1.9 |
| Highland Ridge | 4.1 | 2.3 | 3.0 |
| Desert Basin | 0.6 | 0.1 | 0.4 |
Claim: In September, Highland Ridge received roughly ______ inches of rainfall.
Which choice most effectively uses data from the table to complete the claim?
A) 4.1
B) 3.0
C) 1.9
D) 0.4
Correct Answer: B) 3.0
The Highland Ridge row, September column, displays 3.0 inches. Choice A (4.1) is a wrong-column trap since it represents Highland Ridge’s March value rather than September.
The following text is supported by a table showing the number of new small-business registrations each quarter in one county.
Quarter
New Registrations
210
340
295
410
| Study Method | Average Score | Number of Students |
|---|---|---|
| Flashcards only | 68 | 120 |
| Practice tests only | 79 | 95 |
| Both combined | 86 | 180 |
| Neither | 61 | 105 |
Claim: The ______ quarter of the year saw the lowest number of new business registrations.
Which choice most effectively uses data from the table to complete the claim?
A) first
B) second
C) third
D) fourth
Correct Answer: A) first
Compared to Q2 (340), Q3 (295), and Q4 (410), Q1’s value (210) is the smallest in the table.
A table based on a survey of 500 students that displays average test scores by study strategy is included with the content that follows.
| Study Method | Average Score | Number of Students |
|---|---|---|
| Flashcards only | 68 | 120 |
| Practice tests only | 79 | 95 |
| Both combined | 86 | 180 |
| Neither | 61 | 105 |
Claim: Students who used ______ reported the highest average score among the four groups.
Which choice most effectively uses data from the table to complete the claim?
A) flashcards only
B) practice tests only
C) both combined
D) neither method
Correct Answer: C) both combined
The “Both combined” row has the highest average score (86), while the other groups’ scores are 68, 79, and 61.
A table that compares employee satisfaction ratings across four departments before and after a change in workplace policies is included with the text that follows.
| Department | Before (out of 10) | After (out of 10) |
|---|---|---|
| Sales | 6.1 | 6.4 |
| Engineering | 7.0 | 8.6 |
| Marketing | 6.8 | 7.0 |
| Support | 5.9 | 7.8 |
Claim: The department that exhibited the biggest improvement in satisfaction score after the policy modification was ______.
Which choice most effectively uses data from the table to complete the claim?
A) Sales
B) Engineering
C) Marketing
D) Support
Correct Answer: D) Support
Compared to Engineering’s 1.6-point rise (7.0 to 8.6), Sales’ 0.3-point increase, and Marketing’s 0.2-point increase, Support’s growth is 1.9 points (5.9 to 7.8). Engineering has the greatest raw “After” score but not the largest rise, which is the special trap this question examines. Therefore, it is necessary to calculate each department’s change rather than just comparing the “After” column alone.
These questions encourage you to compare numbers across categories and explain a bar graph in text format. They require the same reading comprehension skills as tables, but in a visual bar-chart format.
A bar graph displaying the quantity of books checked out from a library by genre in a single month is included with the following text.
| Genre | Checkouts |
|---|---|
| Fiction | 480 |
| Mystery | 310 |
| Science | 190 |
| Biography | 150 |
| Poetry | 70 |
Claim: The genre with the second-highest number of checkouts was ______.
Which choice most effectively uses data from the graph to complete the claim?
A) Fiction
B) Mystery
C) Science
D) Biography
Correct Answer: B) Mystery
Fiction (480), Mystery (310), Science (190), Biography (150), and Poetry (70) are ranked from highest to lowest. Choice A is the highest-a typical “close but wrong rank” trap-and mystery comes in second, not first.
A bar graph displaying survey responses on desired work arrangements, broken down by age group, is included with the text that follows. Ages 18–29.
| Age Group | Remote | Hybrid | In-office |
|---|---|---|---|
| 18–29 | 55% | 30% | 15% |
| 30–49 | 38% | 42% | 20% |
| 50+ | 25% | 35% | 40% |
Claim: ______ was the most popular work arrangement among respondents between the ages of 30 and 49.
Which choice most effectively uses data from the graph to complete the claim?
A) Remote
B) Hybrid
C) In-office
D) Equally split among all three
Correct Answer: B) Hybrid
In the 30- to 49-year-old demographic, Hybrid (42%) is more common than Remote (38%) and In-office (20%). This question specifically checks the “right number, wrong category” trap, so option A would be appropriate for the 18–29 group rather than the 30–49 group mentioned in the claim.
A bar graph that displays the average daily water usage (gallons) by home size is included with the text that follows. 60 for one person, 105 for two, 145 for three, 175 for four, and 210 for five or more.
| Household Size | Average Daily Water Usage |
|---|---|
| 1 person | 60 gallons |
| 2 people | 105 gallons |
| 3 people | 145 gallons |
| 4 people | 175 gallons |
| 5+ people | 210 gallons |
Claim: A family with two people uses about ______ gallons less water on average per day than a household with four people.
Which choice most effectively uses data from the graph to complete the claim?
A) 35
B) 70
C) 115
D) 175
Correct Answer: B) 70
70 gallons is the result of subtracting the 2-person home (105 gallons) from the 4-person household (175 gallons). Choice A (35) is the mismatched-pair trap that separates families with three and four members.
A bar graph illustrating the quantity of electric cars sold by four dealerships in a single year is included with the text that follows.
| Dealership | Electric Cars Sold | Total Vehicles Sold |
|---|---|---|
| A | 340 | 1,200 |
| B | 210 | 500 |
| C | 180 | 900 |
| D | 95 | 200 |
Claim: The dealership where electric vehicles brought up the highest share of overall vehicle sales was ______.
Which choice most effectively uses data from the graph to complete the claim?
A) Dealership A
B) Dealership B
C) Dealership C
D) Dealership D
Correct Answer: D) Dealership D
Dealership D’s share is 95/200 = 47.5%, greater than Dealership A (340/1,200 ≈ 28%), Dealership B (210/500 = 42%), and Dealership C (180/900 = 20%). Since the claim asks about proportion rather than raw count, Choice A has the highest raw number of EV sales (340) but not the highest proportion. This is the particular trap that the question examines.
The text that follows is illustrated by a bar graph that displays the average wait periods (in minutes) for patients at a clinic during five different time slots.
| Time Slot | Average Wait Time |
|---|---|
| 8 AM | 12 minutes |
| 10 AM | 22 minutes |
| 12 PM | 35 minutes |
| 2 PM | 28 minutes |
| 4 PM | 18 minutes |
Claim: The ______ time period had the longest wait times for customers.
Which choice most effectively uses data from the graph to complete the claim?
A) 8 AM
B) 10 AM
C) 12 PM
D) 2 PM
Correct Answer: C) 12 PM
The 12 PM slot has the greatest wait time (35 minutes), higher than 8 AM (12), 10 AM (22), 2 PM (28), and 4 PM (18).
These questions ask you to pinpoint a particular point, peak, dip, or general trend on a line graph that shows a value over time.
A line graph displaying a company’s monthly website traffic (in thousands of visitors) during a six-month period is included with the following text.
| Month | Website Traffic |
|---|---|
| January | 45K |
| February | 52K |
| March | 61K |
| April | 58K |
| May | 70K |
| June | 66K |
Claim: The company’s internet traffic peaked in the month of ______.
Which choice most effectively uses data from the graph to complete the claim?
A) March
B) April
C) May
D) June
Correct Answer: C) May
May has the greatest value (70), surpassing all other months on the list, with the exception of June (66), which has a minor fall following the peak.
The line graph that follows displays the average annual temperature (°F) of a city during a ten-year period.
| Year | Average Annual Temperature |
|---|---|
| 2015 | 58.1°F |
| 2016 | 58.4°F |
| 2017 | 58.9°F |
| 2018 | 59.0°F |
| 2019 | 59.3°F |
| 2020 | 59.6°F |
| 2021 | 59.8°F |
| 2022 | 60.1°F |
| 2023 | 60.3°F |
| 2024 | 60.6°F |
Claim: The city’s yearly average temperature showed a ______ trend over the ten-year period displayed.
Which choice most effectively uses data from the graph to complete the claim?
A) steadily increasing
B) steadily decreasing
C) sharply fluctuating
D) remaining constant
Correct Answer: A) steadily increasing
Each year’s number is greater than the preceding year’s, advancing constantly from 58.1 to 60.6 with no decreases – a definite steady growth, not volatility.
The following text is accompanied by a line graph depicting a startup’s number of active users (in thousands) across six quarters.
| Quarter | Active Users |
|---|---|
| Q1 | 10K |
| Q2 | 15K |
| Q3 | 22K |
| Q4 | 60K |
| Q5 | 95K |
| Q6 | 130K |
Claim: Between ______, there was the biggest rise in active users from one quarter to the next.
Which choice most effectively uses data from the graph to complete the claim?
A) Q1 and Q2
B) Q2 and Q3
C) Q3 and Q4
D) Q5 and Q6
Correct Answer: C) Q3 and Q4
A line graph comparing the quarterly sales (in thousands of units) of two competitor product lines is used to show the following text: Product X: 20 in Q1, 28 in Q2, 35 in Q3, and 40 in Q4. Product Y: Q1: 32, Q2: 30, Q3: 29, Q4: 27.
Claim: During ______, Product X’s sales originally topped those of Product Y.
Which choice most effectively uses data from the graph to complete the claim?
Correct Answer: C) Q3
Product Y is still bigger at Q1 (20 vs. 32) and Q2 (28 vs. 30). For the first time, Product X (35) outperforms Product Y (29) in Q3. This necessitates looking at each quarter in turn rather than just comparing the data from the most recent quarter.
A line graph displaying a farm’s monthly crop yield (in tons) during eight months is displayed with the following text.
| Month | Crop Yield |
|---|---|
| April | 12 tons |
| May | 15 tons |
| June | 18 tons |
| July | 14 tons |
| August | 20 tons |
| September | 24 tons |
| October | 22 tons |
| November | 19 tons |
Claim: The farm’s agricultural output experienced a brief decline in ______ before continuing to climb following a period of continuous expansion from April through June.
Which choice most effectively uses data from the graph to complete the claim?
A) May
B) July
C) September
D) November
Correct Answer: B) July
July’s value (14), which is less than June’s value (18), breaks the April–June growth pattern. Then, in August (20) and September (24), the yield begins to climb again. Although there is a fall in November as well, the assertion focusses on the July decline following the April–June expansion phase..
In these questions, a particular criterion (a year, subgroup, or category) is incorporated into the claim’s wording; instead of just selecting any number from the chart that appears plausible, you must choose the single data point that exactly satisfies that criteria.
The material that follows includes a table that shows vaccination rates by age group over a two-year period.
| Age Group | 2023 | 2024 |
|---|---|---|
| 0–17 | 71% | 74% |
| 18–39 | 58% | 65% |
| 40–64 | 66% | 70% |
| 65+ | 82% | 85% |
Claim: Among adults aged 18 to 39, the vaccination rate increased by over ______ percentage points between 2023 and 2024.
Which choice most effectively uses data from the table to complete the claim?
A) 3
B) 4
C) 5
D) 7
Correct Answer: D) 7
The rate increased by seven percentage points, from 58% to 65%, for the 18–39 age group in particular. Both Choice A (3) and Choice C (5), which are wrong-row traps for a claim with a particular specified condition, match the growth of the 0–17 group and the 40–64 group, respectively.
The following line graph shows the annual number of visitors (in thousands) to a national park.
| Year | Visitors |
|---|---|
| 2019 | 420K |
| 2020 | 180K |
| 2021 | 310K |
| 2022 | 450K |
| 2023 | 490K |
| 2024 | 475K |
Claim: In the year ______, visitor numbers first surpassed pre-2020 levels (420,000).
Which choice most effectively uses data from the graph to complete the claim?
A) 2021
B) 2022
C) 2023
D) 2024
Correct Answer: B) 2022
2021’s value (310) is still below the 2019 baseline (420). 2022 (450) is the first year the figure exceeds 420 again. Choice C (2023) is likewise above 420 but not the first year to do so, which the claim clearly requires.
The following text is supported by a table showing average monthly gym attendance by membership type and season.
| Membership Type | Winter | Summer |
|---|---|---|
| Standard | 8 visits | 6 visits |
| Premium | 14 visits | 15 visits |
| Student | 10 visits | 5 visits |
Claim: Out of all the membership categories displayed, ______ was the only one whose average attendance was higher in the summer than in the winter.
Which choice most effectively uses data from the table to complete the claim?
A) Standard
B) Premium
C) Student
D) All three groups equally
Correct Answer: B) Premium
Premium members’ summer attendance (15) is higher than their winter attendance (14). Standard (6 vs. 8) and Student (5 vs. 10) both show the opposite pattern – higher in winter. Finding the highest total number is not enough; all three rows must be compared to the particular “higher in summer” requirement.
A bar graph displaying survey findings on primary news sources by generation is included with the content that follows. Gen Z.
| Generation | TV | Newspapers | Social Media | Other |
|---|---|---|---|---|
| Gen Z | 12% | 4% | 62% | 22% |
| Millennials | 25% | 8% | 45% | 22% |
| Gen X | 40% | 18% | 28% | 14% |
Claim: Among Gen X respondents particularly, the most usually identified primary news source was ______.
Which choice most effectively uses data from the graph to complete the claim?
A) Social media
B) TV
C) Newspaper
D) Other
Correct Answer: B) TV
TV (40%) has the highest value within the Gen X category, followed by Social media (28%), Newspaper (18%), and Other (14%). For Gen Z or Millennials, Option A would be appropriate, but not for Gen X; this is another instance of the “right number, wrong category” dilemma.
A table displaying the average commute time (minutes) by mode of transportation across three cities is included with the content that follows.
| City | Car | Public Transit | Bike |
|---|---|---|---|
| Milltown | 22 | 38 | 15 |
| Eastport | 28 | 30 | 20 |
| Fairview | 19 | 45 | 12 |
Claim: ______ was the only city and mode combination where public transportation was, on average, quicker than driving a car.
Which choice most effectively uses data from the table to complete the claim?
A) Milltown
B) Eastport
C) Fairview
D) None of the cities shown
Correct Answer: D) None of the cities shown
Checking every city against the specified criteria (transit faster than vehicle): Milltown (22 vs. 38 – car faster), Eastport (28 vs. 30 – car faster, albeit close), Fairview (19 vs. 45 – car faster). Driving a car is still faster than using public transportation in every city on the list. This question especially examines students’ ability to verify each row instead of thinking that a close value, such as Eastport’s 28 vs. 30, is close enough to satisfy the claim; the right response necessitates realizing that no city truly satisfies the stated criterion, making D the only correct option.
These questions demand a simple calculation – a difference, a percentage change, or a ratio – utilizing two data items from a chart or table. No calculator is needed, but careful arithmetic is necessary.
The following text is accompanied by a table showing a company’s quarterly revenue (in millions).
Quarter
Revenue
$4.0M
$5.0M
| Region | March | June | September |
|---|---|---|---|
| Coastal Valley | 3.2 | 0.8 | 1.9 |
| Highland Ridge | 4.1 | 2.3 | 3.0 |
| Desert Basin | 0.6 | 0.1 | 0.4 |
Claim: The company’s revenue grew by about ______% between Q1 and Q2.
Which choice most effectively uses data from the table to complete the claim?
A) 10%
B) 20%
C) 25%
D) 50%
Correct Answer: C) 25%
On a base of $4.0M, the gain is $1.0M, or 1.0 ÷ 4.0 = 0.25, or 25%. Choice B (20%) is a typical trap caused by dividing the $1.0M increase by the final value ($5.0M) rather than the initial amount.
A table that displays university student enrollment by major is included with the content that follows.
| Major | Students |
|---|---|
| Engineering | 1,200 |
| Business | 900 |
| Biology | 600 |
| Art | 300 |
Claim: There are roughly ______ times as many engineering students as there are art students.
Which choice most effectively uses data from the table to complete the claim?
A) 2
B) 3
C) 4
D) 6
Correct Answer: C) 4
1,200 ÷ 300 = 4. Choice B (3) is the ratio of Business to Art pupils (900 ÷ 300), a mismatched-pair trap.
A line graph displaying a town’s population (in thousands) over three decades is shown with the following text.
| Year | Population |
|---|---|
| 1994 | 40K |
| 2004 | 52K |
| 2014 | 68K |
| 2024 | 89K |
Claim: Between ______, the town’s population increased at its quickest rate in ten years.
Which choice most effectively uses data from the graph to complete the claim?
A) 1994 and 2004
B) 2004 and 2014
C) 2014 and 2024
D) All three decades show identical growth rates
Correct Answer: C) 2014 and 2024
Percentage growth: 1994–2004: (52−40)/40 = 30%. (68−52)/52 ≈ 31% between 2004 and 2014; (89−68)/68 ≈ 31% between 2014 and 2024. The raw rise (21,000) during 2014–2024 is the largest of the three, and its percentage rate is also somewhat the highest — this necessitates comparing growth carefully rather than assuming the largest raw number automatically translates to the fastest pace in every case.
A table that displays a factory’s production output and defect counts during a two-month period is included with the content that follows.
| Month | Units Produced | Defective Units |
|---|---|---|
| January | 5,000 | 150 |
| February | 6,200 | 124 |
Claim: The factory’s defect rate (defective units as a percentage of total units produced) was ______ in February compared to January.
Which choice most effectively uses data from the table to complete the claim?
A) higher
B) lower
C) exactly the same
D) impossible to determine from the data given
Correct Answer: B) lower
January’s failure rate: 150/5,000 = 3.0%. Defect rate for February: 124/6,200 = 2.0%. Even though February’s raw defect count (124) is close to January’s (150) and production increased, the rate calculation shows a clear improvement – this question specifically tests whether students calculate the rate rather than just comparing raw defective-unit counts, which alone might mislead toward assuming little change.
The most valuable talent on this site is this one. The Digital SAT purposefully contains at least one answer option that is a true, accurate number taken straight from the chart, but from the incorrect row, column, category, or time period in relation to what the claim expressly requests.
The following text is accompanied by a table showing a company’s annual employee count.
| Year | Employees |
|---|---|
| 2021 | 320 |
| 2022 | 410 |
| 2023 | 395 |
| 2024 | 480 |
Claim: Between 2022 and 2023, the company’s personnel count ______.
Which choice most effectively uses data from the table to complete the claim?
A) increased
B) decreased
C) remained exactly the same
D) more than doubled
Correct Answer: B) decreased
The number decreased by 15 from 2022 (410) to 2023 (395). This question is designed to capture students who are in a hurry and observe that the overall 2021-to-2024 trend is upward and mistakenly choose “increased” without checking the precise 2022-to-2023 window the claim asks about.
A bar graph displaying the average customer ratings (out of 5) for four restaurant locations is included with the text that follows.
| Location | Average Customer Rating |
|---|---|
| Downtown | 4.2 |
| Uptown | 3.8 |
| Riverside | 4.6 |
| Eastside | 4.1 |
Claim: The Uptown location achieved the ______ average customer rating among the four sites.
Which choice most effectively uses data from the graph to complete the claim?
A) highest
B) second-highest
C) lowest
D) second-lowest
Correct Answer: C) lowest
The ratings are as follows: Uptown (3.8), Eastside (4.1), Downtown (4.2), and Riverside (4.6). Uptown is the lowest, not the second-lowest – Choice D would be accurate if Eastside were being asked about, a subtle “off by one” ranking trap.
A line graph displaying the daily average temperature (°F) over a week is included with the text that follows.
| Day | Daily Average Temperature |
|---|---|
| Monday | 71°F |
| Tuesday | 74°F |
| Wednesday | 73°F |
| Thursday | 75°F |
| Friday | 74°F |
| Saturday | 80°F |
| Sunday | 78°F |
Claim: Between ______ and ______, the week’s biggest daily temperature increase took place.
Which choice most effectively uses data from the graph to complete the claim?
A) Monday and Tuesday
B) Wednesday and Thursday
C) Friday and Saturday
D) Saturday and Sunday
Correct Answer: C) Friday and Saturday
Daily variations: Monday through Tuesday: +3, Tuesday through Wednesday: −1, Wednesday through Thursday: +2, Thursday through Friday: −1, Friday through Saturday: +6, Saturday through Sunday: −2. Compared to Monday–Tuesday’s +3°F, the Friday–Saturday spike (+6°F) is unquestionably the biggest single increase. This is precisely why it is important to manually calculate each day-over-day change: on a compressed graph, Monday–Tuesday’s +3°F could appear strikingly similar in scale to the Friday–Saturday rise, and a hurried visual read runs the risk of choosing the incorrect combination.
These questions demand cross-referencing two or more variables at once – assessing if you can hold numerous conditions in mind concurrently while reading a single data source.
A table that displays the average crop yield (bushels per acre) per soil type and rainfall level is included with the text that follows..
| Soil Type | Low Rainfall | High Rainfall |
|---|---|---|
| Clay | 32 | 58 |
| Sandy | 45 | 51 |
| Loam | 40 | 66 |
Claim: Of the soil types displayed, ______ had the least yield difference between low and high rainfall circumstances.
Which choice most effectively uses data from the table to complete the claim?
A) Clay
B) Sandy
C) Loam
D) All three soil types show an identical difference
Correct Answer: B) Sandy
Differences: Clay: 58−32=26. Sandy: 51−45=6. Loam: 66−40=26. While Clay and Loam tie at 26, Sandy’s difference (6) is unquestionably the smallest; this necessitates computing all three differences rather than believing the solution is plain from a cursory glance.
The following text is illustrated by a scatter plot showing individual employees’ years of experience (x-axis) plotted against their annual sales (y-axis, in thousands).
| Employee | Years of Experience | Annual Sales |
|---|---|---|
| A | 2 years | $80K |
| B | 8 years | $145K |
| C | 4 years | $95K |
| D | 12 years | $130K |
| E | 6 years | $160K |
Claim: The scatter plot data demonstrates that years of experience alone does not fully explain variances in annual sales, since ______.
Which choice most effectively uses data from the plot to complete the claim?
A) every employee with more experience had higher sales than every employee with less experience
B) Employee E, with fewer years of experience than Employee D, had higher annual sales than Employee D
C) Employee A had the fewest years of experience and the lowest sales
D) sales figures were not reported for any employee with fewer than 2 years of experience
Correct Answer: B) Employee E, with fewer years of experience than Employee D, had higher annual sales than Employee D
Employee D (12 years, $130K) has more sales than Employee E (6 years, $160K) despite having less experience. This particular reversal is precisely the kind of evidence required to support a claim that experience “alone does not fully explain” sales discrepancies. The claim would be refuted rather than supported by Choice A, which depicts the opposite pattern (a perfect correlation).
A table displaying quarterly sales performance and customer complaint counts for four store branches is included with the information that follows.
| Branch | Quarterly Sales | Customer Complaints |
|---|---|---|
| North | $210K | 12 |
| South | $195K | 28 |
| East | $240K | 9 |
| West | $180K | 31 |
Claim: One branch, ______, deviated from the usual trend of greater sales branches reporting fewer complaints.
Which choice most effectively uses data from the table to complete the claim?
A) North, which had moderate sales and a moderate complaint count consistent with the overall pattern
B) South, which had lower sales than North but also fewer complaints than West, generally fitting the overall pattern
C) East, which had the highest sales and the fewest complaints, fitting the pattern most closely
D) There is no branch in the table that breaks the general pattern described
Correct Answer: D) There is no branch in the table that breaks the general pattern described
When sales are ranked from highest to lowest (East $240K, North $210K, South $195K, West $180K) and complaints are ranked from lowest to highest (East 9, North 12, South 28, West 31), the two rankings match exactly. Higher sales are always associated with fewer complaints in all four branches. The purpose of this question is to determine whether students will mistakenly force-fit one branch into one of the “exception” response choices (A, B, or C) even in cases when the data does not support a break in the pattern.
After completing these Command of Evidence (Quantitative) questions, use these SAT Reading and Writing tools to strengthen the rest of the Information and Ideas domain and improve your full verbal preparation.
| Resource | Best For | CTA |
|---|---|---|
| SAT Command of Evidence (Textual) Practice Questions | Matching quoted textual evidence to claims | Download Now |
| SAT Central Ideas and Details Practice Questions | Identifying the main point of short passages | Download Now |
| SAT Inference Practice Questions | Drawing logical conclusions from short passages | Download Now |
| SAT Words in Context Practice Questions | Precise word meaning and transitions | Download Now |
| SAT Math Data Analysis Practice | Charts, graphs, and statistics on the Math section | Download Now |
| SAT Reading and Writing Prep Resources | Complete verbal section resource hub for students | Download Now |
Need Help With Command of Evidence (Quantitative)?
To determine the optimal SAT Reading and Writing strategy for your desired score, speak with a TestPrepKart SAT expert or arrange a free trial session.
| Mistake | Why It Happens | The Fix |
|---|---|---|
| Reading the wrong row or column | Charts with multiple categories and time periods can look similar at first glance. | Locate the exact row and column before checking the answer choices. |
| Picking a number that’s accurate but from the wrong condition | An answer choice uses a real value, but not the one the question asks about. | Double-check the year, group, and category before selecting a value. |
| Assuming the overall trend applies to every specific window | An overall trend doesn’t always hold true for every pair of data points. | Verify the exact data points mentioned in the claim instead of relying on the overall trend. |
| Confusing raw values with rates, ratios, or percentages | Some questions require calculations rather than simply reading a number from the chart. | Determine whether the question requires a raw value, difference, ratio, or percentage before solving. |
| Mixing up the base value in percentage calculations | Students often divide by the ending value instead of the starting value. | Always divide the change by the original (starting) value before multiplying by 100. |
| Force-fitting an “exception” answer when none exists | Students expect an exception because the question suggests one. | Check every row or category carefully before deciding that an exception exists. |
| Rushing past ties or near-ties in the data | Close values can appear identical at a quick glance. | Compare the exact numbers before choosing the largest or smallest value. |
The Digital SAT offers every Command of Evidence (Quantitative) question in Bluebook with a graph or table and a short claim passage – this skill relies on careful visual reading, not any calculator (though Bluebook’s built-in calculator is available if a calculation is actually needed). Here’s how to complete it effectively on test day.
1. Identify the exact row, column, or point the claim is asking about before looking at answer choices. The best habit for avoiding wrong-category pitfalls is this one.
2. Use the highlight and annotate tool to mark the claim’s specific condition. You can easily highlight text in Bluebook. To avoid inadvertently reading the incorrect section of the chart, highlight the precise year, group, or category mentioned in the assertion.
3. Do the calculation yourself before checking choices, when a claim requires one. For questions involving percentage changes, differences, or ratios, calculate your own figure before attempting to determine which option “looks about right.”
4. Double-check ties and near-ties. If a claim requests “the largest” or “the smallest” and two values appear to be similar, compute them exactly rather than making an educated judgment based only on a cursory glance.
5. Verify claims about “exceptions” or “patterns” against every row. Don’t assume an exception exists (or doesn’t) without examining every category; certain questions examine if a given pattern actually holds throughout the data.
This three-week plan includes time set aside for both raw data-reading speed and calculating accuracy because this skill combines data literacy with reading precision.
| Week | Focus | Activity |
|---|---|---|
| Days 1–2 | Diagnostic and table reading | Complete the 30 practice questions, log every mistake by skill type, and practice 10 additional table-reading questions daily by locating the exact row and column before choosing an answer. |
| Days 3–4 | Bar graph comparisons | Solve 15 bar graph questions each day, focusing on accurately comparing values across multiple categories. |
| Days 5–6 | Line graph trends | Complete 15 line graph questions daily. Practice identifying peaks, dips, and point-to-point changes instead of relying on the overall trend. |
| Day 7 | Week 1 review | Review every mistake from Days 1–6 and complete five new practice questions for each weak skill. |
| Days 8–9 | Matching data to exact conditions | Solve 15 condition-matching questions daily. Underline the exact year, category, or group before reading the chart. |
| Days 10–11 | Calculations: differences, rates, and ratios | Complete 15 calculation-based questions each day. Perform every calculation before looking at the answer choices. |
| Day 12 | Wrong-axis and wrong-category traps | Practice 15 questions containing “correct number, wrong condition” traps and identify which trap causes the most mistakes. |
| Day 13 | Multi-variable data | Complete 10 scatterplot or multi-variable table questions while practicing how to track two conditions at the same time. |
| Day 14 | Week 2 review | Review mistakes from Days 8–13 and solve five additional questions for every weak category until those errors are eliminated. |
| Days 15–17 | Timed mixed practice | Complete three 15-minute timed sets of 10 mixed Command of Evidence (Quantitative) questions. Aim to average less than 60 seconds per question. |
| Days 18–19 | Full-length error review | Complete two official Digital SAT Reading and Writing practice tests and classify every Command of Evidence (Quantitative) mistake by trap type. |
| Day 20 | Targeted re-drill | Solve 20 new questions focused on your two weakest subskills identified during the previous practice tests. |
| Day 21 | Full Reading and Writing module | Take one final timed Digital SAT Reading and Writing module and compare your Command of Evidence (Quantitative) accuracy with your Day 1 baseline. |
After completing this three-week plan, revisit SAT Math Data Analysis and Problem-Solving topics. The chart-reading habits developed here—locating exact rows, checking specific conditions, and calculating rates carefully—transfer directly to those questions.

Although Aisha was comfortable interpreting charts from her AP Statistics classes, she continued missing three to four Command of Evidence (Quantitative) questions on every Digital SAT practice test. After reviewing her error log, we discovered a consistent pattern—she was selecting correct numbers from the chart, but they belonged to the wrong year, subgroup, or category mentioned in the question.
We focused for one week on a single habit: identifying the exact condition in the claim before looking at the chart. Within three weeks, her Reading and Writing score improved from 680 to 740, while her Information and Ideas accuracy increased from approximately 59% to 93%.

Although Karan excelled in SAT Math, he often rushed through Command of Evidence (Quantitative) questions. Confident in his math skills, he estimated values from charts and selected the closest-looking answer without verifying the correct row, category, or performing the required calculation.
We focused on slowing down during calculation-based questions, especially percentage changes, rate comparisons, and “close-tie” answer traps. After just 12 days of targeted practice using the Skill 5 and Skill 6 questions on this page, his Information and Ideas accuracy improved from 18/27 to 26/27, while his overall Reading and Writing score increased from 710 to 770.
Since 2013, TestPrepKart has helped SAT students from more than 40 countries, including the United States (CA, NJ, TX, NY, WA, and FL). Our SAT experts analyze your practice test results, identify your Information and Ideas weak areas, and create a personalized study plan so you can focus your preparation on the skills that will improve your score the fastest.
Build A Clear SAT Reading and Writing Improvement Plan
Command of Evidence (Quantitative) completes the Information and Ideas domain – the largest domain on SAT Reading and Writing. TestPrepKart offers professional advice, topic-specific preparation, mock test analysis, and a score development plan.
Command of Evidence (Quantitative) is one of the three skills in the Information and Ideas domain, which makes up about 26% of the Digital SAT Reading and Writing section. On most tests, you can expect approximately 2–4 Command of Evidence (Quantitative) questions across the two Reading and Writing modules.
Usually not. Most questions require reading values from charts or tables and performing simple calculations such as subtraction or basic percentage changes. Although Bluebook provides a built-in calculator, success depends more on careful reading and data interpretation than advanced math.
Command of Evidence (Textual) asks you to choose the quotation that best supports a claim from a passage. Command of Evidence (Quantitative) asks you to select the data point from a graph, chart, or table that best supports the claim. Both skills belong to the Information and Ideas domain, but one focuses on text while the other focuses on data.
The most common trap is choosing a value that is correct but comes from the wrong row, column, category, or year. Always identify the exact condition in the question before matching it to the data shown in the chart or table.
You can practice using any charts, graphs, or data tables. Focus on locating the exact data point requested, distinguishing raw values from percentages, and carefully matching the claim to the correct condition. These skills transfer directly to the Digital SAT.
Strong math students often lose points because these questions test careful reading as much as calculation. Most mistakes occur when students select a correct number from the wrong category, year, or subgroup rather than making a mathematical error. Reading the question precisely is just as important as performing the calculation.
He is a Digital SAT mentor with 10+ years of experience, working primarily with SAT students all Over worldwide. Their students have consistently progressed toward 1520+ scores by improving timing, accuracy, and trap-answer control through official-style practice, detailed mistake analysis, and clear weekly action plans.
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