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This deck focuses on Comparing Data Sets, giving you a quick way to review the definitions, rules, and examples that matter most for ACT Science.
Study Comparing Data Sets in ACT Science with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.
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Define the range in a data set.
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Difference between the maximum and minimum values. Measures the spread of the data set.
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This deck focuses on Comparing Data Sets, giving you a quick way to review the definitions, rules, and examples that matter most for ACT Science.
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: Difference between the maximum and minimum values. Measures the spread of the data set.
Answer: Standard deviation measures data spread around the mean. It quantifies how much individual data points deviate from the average.
Answer: A value far from the overall pattern of the data. An unusual data point that doesn't fit the pattern.
Answer: Distribution, median, quartiles, and outliers. Shows the five-number summary of a data set graphically.
Answer: 2. 6−213−5=48=2.
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Answer: They show similar trends but different levels (different y-values). Similar patterns but different scales or intensities.
Answer: They differ by a multiplicative factor (scaling). One is proportionally larger at all points.
Answer: Outliers can skew the mean. Outliers pull the mean toward their extreme values.
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Answer: A summary of how often values occur. It counts how many times each value appears.
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Answer: 25\text{%}. 4050−40×100%=25%.
Answer: A value significantly higher or lower than most others. Extreme value that deviates from the pattern.
Answer: The mode is 4. The value that appears most frequently in the data set.
Answer: Variance is the square of the standard deviation. Variance equals standard deviation squared, or σ2.
Answer: Compare slopes over the same x-interval. Calculate how steep each line is.
Answer: The range is 20. Subtract the minimum (10) from the maximum (30).
Answer: Most frequently occurring value in a data set. Value with highest frequency.
Answer: The measured response, often on the y-axis. The output variable that responds to changes.
Answer: They differ mainly by an additive offset in y. Same pattern with a constant vertical displacement.
Answer: The median is 6. The middle value when data is arranged in order.
Answer: The mode is 2. The value 2 appears twice, more than any other value.
Answer: number of valuessum of values. Standard formula for arithmetic mean.
Answer: A distribution with two modes. Two values occur with the highest frequency.
Answer: 18.2\text{%}. 22∣20−24∣×100%=18.2%.
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Answer: Set B has greater variability. Set A has no variation while Set B spans a wide range.
Answer: A changes faster per unit x than B. Set A increases more rapidly than set B.
Answer: No linear relationship. The variables have no linear association with each other.
Answer: A value significantly different from others. An extreme value that falls far from the typical range.
Answer: Median is resistant to outliers. Median doesn't change much when extreme values are present.
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Answer: Middle value when data is ordered. Central position in ordered data.
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Answer: They show similar trends but different levels (different y-values). Similar patterns but different scales or intensities.
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Answer: The range is 20. Subtract the minimum (10) from the maximum (30).
Answer: A summary of how often values occur. It counts how many times each value appears.
Answer: Compare slopes over the same x-interval. Calculate how steep each line is.
Answer: ∣A−B∣. Distance between values, always positive.
Answer: Compare proportions or rates, not raw counts. Use ratios to account for different group sizes.
Answer: The means likely differ more than the displayed uncertainty. Non-overlapping bars suggest a clearer difference.
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Answer: Approximately 68%. This follows the empirical rule for normal distributions.
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Answer: Median. Median is less influenced by extreme values.
Answer: Convert to the same units before comparing values. Use consistent units to make meaningful comparisons.
Answer: Arrange data in order, pick the middle value. Standard method for finding median.
Answer: How spread out the values are around a typical value. Measures how much the data points differ from each other.
Answer: The median is 6. The middle value when data is arranged in order.
Answer: 2. 6−213−5=48=2.
Answer: A value significantly higher or lower than most others. Extreme value that deviates from the pattern.
Answer: Compare multiplicative changes or slopes on a log scale. Log scales better show exponential growth patterns.
Answer: Ogive or cumulative frequency graph. Also called a cumulative frequency curve.
Answer: Variance is the square of the standard deviation. Variance equals standard deviation squared, or σ2.
Answer: A−B. Subtracts one value from the other.
Answer: They have equal y-values at that x. The data sets have the same value at that point.
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Answer: Ogive or cumulative frequency graph. Also called a cumulative frequency curve.
Answer: They have similar centers but different variability. Central tendency is similar but consistency differs.
Answer: The mean is 7. Sum all values and divide by the count of values.
Answer: A collection of measured or observed values for one or more variables. Information gathered from measurements or observations.
Answer: Symmetry around the mean. The distribution is bell-shaped with equal sides around the center.
Answer: Histograms display frequency of numerical data. Bar charts show categories; histograms show continuous data ranges.
Answer: Compare proportions or rates, not raw counts. Use ratios to account for different group sizes.
Answer: They have the same slope (same rate of change). Both lines change at the same rate.
Answer: Standard deviation measures data spread around the mean. It quantifies how much individual data points deviate from the average.
Answer: Median is resistant to outliers. Median doesn't change much when extreme values are present.
Answer: Q3−Q1. Standard IQR calculation notation.
Answer: Outliers can skew the mean. Outliers pull the mean toward their extreme values.
Answer: IF−I×100%. Shows relative change from the starting value.
Answer: BA. Divides one value by the other for comparison.
Answer: Maximum value - Minimum value. Basic range calculation formula.
Answer: 12.5. Sum (50) divided by count (4).
Answer: A measure of the strength and direction of a relationship. Ranges from -1 to +1, indicating linear association strength.
Answer: A consistent pattern of increase, decrease, or no change. A pattern showing how values change consistently.
Answer: Tail on the left side; mean < median. The distribution has a longer tail on the left side.
Answer: 3. 12−9=3.
Answer: Median. Resistant to extreme values.
Answer: Subtract the first quartile from the third quartile. Formula: Q3−Q1.
Answer: The IQR is 4. Q1=3, Q3=7, so IQR=7−3=4.
Answer: Median is best for skewed data. Median is less affected by extreme values than the mean.
Answer: Middle value when data is ordered. Central position in ordered data.
Answer: Mean is greater. Outliers in the right tail pull the mean higher.
Answer: Points outside the whiskers. Whiskers extend to the most extreme non-outlier values.
Answer: Uniform distribution. All values occur with approximately equal frequency.
Answer: Arrange data in order, pick the middle value. Standard method for finding median.
Answer: They differ by a multiplicative factor (scaling). One is proportionally larger at all points.
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Answer: To display quantitative data distribution. It organizes data by stems (tens) and leaves (units).
Answer: Difference between the maximum and minimum values. Measures the spread of the data set.
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Answer: They differ mainly by an additive offset in y. Same pattern with a constant vertical displacement.
Answer: 7. The middle value when data is arranged in order.
Answer: As one variable increases, the other decreases. Both variables move in opposite directions to each other.