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This deck focuses on Evidence In Tables And Graphs, giving you a quick way to review the definitions, rules, and examples that matter most for SAT Reading and Writing.
Study Evidence In Tables And Graphs in SAT Reading and Writing with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.
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What does "relative increase" mean compared with "absolute increase"?
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Relative increase is percent change; absolute increase is the raw difference. Relative focuses on proportional change, while absolute uses raw differences, affecting interpretation of magnitude.
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This deck focuses on Evidence In Tables And Graphs, giving you a quick way to review the definitions, rules, and examples that matter most for SAT Reading and Writing.
Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.
Answer: Relative increase is percent change; absolute increase is the raw difference. Relative focuses on proportional change, while absolute uses raw differences, affecting interpretation of magnitude.
Answer: 20 to 30 (50% vs. 20%). Percent change is (30−20)/20=50% vs. (60−50)/50=20%, emphasizing relative growth.
Answer: Read the title and axis labels. Establishes context and understanding before analyzing data.
Answer: 320. Summing to 20 and dividing by 3 gives the arithmetic mean, balancing the values.
Answer: The y-axis. The vertical axis shows the outcome being measured.
Answer: Identify the most frequent value. Mode is the value that appears most often.
Answer: Multiply or interpret values using the stated scale factor. Scaling adjusts reported figures to actual magnitudes, preventing underestimation of values.
Answer: Cumulative frequency graph. Shows running totals as data accumulates.
Answer: The greatest difference between two relevant values for each category. Comparing differences per category identifies the maximum change, supporting claims of largest growth.
Answer: Range = 30. Difference between highest and lowest values (40−10=30).
Answer: Maximum minus minimum. Range measures the spread of data by subtracting the smallest from the largest value.
Answer: 7.2 million. The entry 7.2 scaled by millions equals 7,200,000, reflecting the true quantity.
Answer: A strong correlation. Points near a line indicate variables change together predictably.
Answer: Estimate a value between labeled data points on the graph. Interpolation estimates within the data range, assuming continuity between known points.
Answer: 6. Dividing total by population (300/50) gives the average per individual, standard for per-capita metrics.
Answer: Some values count more because they have larger weights. Weights adjust the influence of each value, reflecting their relative importance in the average.
Answer: Predict a value beyond the observed data range (often less reliable). Extrapolation extends the trend outside observed data, introducing higher uncertainty.
Answer: A point far from the overall pattern of the other points. Outliers deviate significantly from the trend, potentially indicating anomalies or errors in data.
Answer: Mean = 10. Sum of values (5+8+12+15=40) divided by count (40÷4=10).
Answer: Median = 11. Middle value when data is arranged in order.
Answer: Relationship between two variables. Points plotted to reveal patterns or correlations.
Answer: Bar chart. Easily compares discrete categories side by side.
Answer: x2−x1y2−y1. Slope calculates the rate of change in y per unit x, indicating line steepness.
Answer: Correlation is association; causation requires proof of a cause-effect link. Graphs show patterns of association, but causation demands experimental evidence or controls for confounding factors.
Answer: Pie chart. Circular format naturally displays parts of a whole.
Answer: oldnew−old×100%. This formula measures relative change, allowing comparison of growth or decline across different scales.
Answer: totalpart×100%. This expresses the part's share of the whole as a percentage, useful for comparative analysis.
Answer: A line graph. Shows continuous change and patterns across time periods.
Answer: 7. For an even number of ordered values, average the two middle ones (5 and 9) to find the median.
Answer: The specific cell value paired with its row and column labels. Citing the exact cell with labels provides direct, verifiable support for the claim without ambiguity.
Answer: Show frequency distribution. Bars display how often values occur in ranges.
Answer: The difference may not be clearly distinguishable given uncertainty. Overlapping error bars suggest the observed difference could be due to random variation, not a real effect.
Answer: The series with the smallest variation (smallest range or spread). Consistency implies low variability, so smallest spread supports claims of stability over time.
Answer: Y-intercept = 7. Constant term where line crosses the y-axis.
Answer: 12. Subtracting the minimum (3) from the maximum (15) quantifies the dataset's total variability.
Answer: 12 to 18 (increase 6 vs. 6; they are equal). Both show an absolute increase of 6, making them equivalent despite different starting points.
Answer: Line graph. Connects data points to show trends over intervals.
Answer: Slope = 2. Coefficient of x represents rate of change.
Answer: Per person; a total divided by population. Per capita normalizes totals by population size, enabling fair comparisons across groups of different sizes.
Answer: How much y changes for a given change in x. It quantifies the steepness of the line, indicating the speed of change in the dependent variable relative to the independent one.
Answer: Source and units. Verifies data origin and measurement standards.
Answer: Identify the exact claim, then locate the relevant row/column/axis values. This approach ensures precise alignment between the claim and the data source, avoiding misinterpretation of irrelevant sections.
Answer: Examine the axis labels and scale. Understanding units and intervals ensures accurate interpretation.
Answer: Ignoring axis units or a nonzero baseline that changes visual impact. Misreading axes can distort perceived differences, as units and scales affect data interpretation.
Answer: 20%. The calculation (60−50)/50×100% yields the relative increase, standard for percent change.
Answer: The number of observations used to compute the displayed values. Sample size affects reliability; larger n typically means more precise estimates in data presentations.
Answer: The rate of change between variables. Shows how much one variable changes per unit of another.
Answer: Outlier = 100. Value significantly different from the rest of the data.
Answer: A is higher than B throughout the displayed time period. The pattern holds for all shown data points, supporting a conclusion limited to the observed period.
Answer: The middle value when data is ordered. Half the values are above and half below this point.
Answer: State that the variables are correlated, not that one causes the other. Without causal evidence, claims must limit to observed associations to avoid unsubstantiated inferences.
Answer: 2. Applying the slope formula (13−5)/(6−2)=8/4 confirms the constant rate between points.
Answer: Consistent scales and units. Enables meaningful comparison across different data sets.
Answer: 25%. The ratio 18/72=0.25, multiplied by 100%, provides the proportional contribution.
Answer: 5,6,5,6. The set has a smaller range (1 vs. 7), indicating less fluctuation and greater consistency.
Answer: Use "slightly higher/lower" rather than "dramatically higher/lower.". Modest language like "slightly" accurately reflects small differences without exaggerating significance.
Answer: 25%. The absolute decrease is 20, but relative to the original, it's (60−80)/80×100%=−25%, focusing on proportional change.
Answer: Identify the variables and their units. This establishes what is being measured and how.
Answer: Independent variable. The variable that is controlled or manipulated.
Answer: The overall direction or pattern of change across the x-axis. Trends capture the general movement or pattern in data over the independent variable, often time, to support claims about directionality.
Answer: Identify the most frequent value. Look for the category with the highest frequency count.
Answer: 17.5. Using (10×1+20×3)/(1+3)=70/4 accounts for the higher weight of 20.
Answer: A pie chart. Shows proportional relationships within a total.
Answer: The middle value when the data are ordered. Median identifies the central value in an ordered list, resistant to outliers unlike the mean.
Answer: nx1+x2+⋯+xn. The mean represents the central tendency by equally distributing the total sum across all values.