AP Statistics Practice

AP Statistics Practice

Practise AP Statistics with source-backed quizzes, flashcards, and notes covering data, sampling, probability, inference, chi-square tests, and regression.

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190 questions ready

Start with a quiz

Answer from memory first, then review the rationales and revisit weak areas from this course.

Activities

Quiz190 Questions
Flashcards155 Cards
Study Notes11 Notes
Mind Map6 Maps

List of Questions30 questions
  1. Question 1
    • The mean is likely less than the median.
    • The mean and median are approximately equal.
    • The mean is likely greater than the median.
    • The standard deviation is equal to the interquartile range.
  2. Question 2
    • Variance
    • Interquartile range
    • Range
    • Standard deviation
  3. Question 3
    • 18
    • 12
    • 5
    • 10
  4. Question 4
    • The median is more affected than the mean.
    • The mean is more affected than the median.
    • The IQR is more affected than the standard deviation.
    • The range is less affected than the standard deviation.
  5. Question 5
    • 99.7%
    • 68%
    • 50%
    • 95%
  6. Question 6
    • Left-skewed
    • Bimodal
    • Uniform
    • Symmetric
  7. Question 7
    • Compare the lengths of the boxes to assess spread.
    • Compare the symmetry of the distributions.
    • Compare the medians to assess center.
    • Compare the number of observations in each group.
  8. Question 8
    • +1.5
    • +1.0
    • -1.0
    • +0.5
  9. Question 9
    • Mode
    • Median
    • Standard deviation
    • Mean
  10. Question 10
    • 55
    • Cannot be determined without the original values
    • 55 multiplied by the sample size
    • 50
  11. Question 11
    • Left-skewed
    • Symmetric
    • Uniform
    • Right-skewed
  12. Question 12
    • 25% of the data is between 20 and 30.
    • The interquartile range is 15.
    • The value 50 is a potential outlier.
    • The distribution is symmetric.
  13. Question 13
    • Keep the median the same.
    • Increase the median.
    • Increase the standard deviation.
    • Decrease the median.
  14. Question 14
    • Multiplying all observations by 0.5
    • Adding a new observation far from the mean.
    • Adding a new observation close to the mean.
    • Decreasing the sample size.
  15. Question 15
    • The distribution is likely right-skewed.
    • The distribution is likely symmetric.
    • The distribution has no outliers.
    • The distribution is likely left-skewed.
  16. Question 16
    • Range
    • Standard deviation
    • Median absolute deviation
    • Interquartile range
  17. Question 17
    • Mean
    • Lower quartile (Q1)
    • Median
    • Interquartile range (IQR)
  18. Question 18
    • -3
    • 10
    • 3
    • 12
  19. Question 19
    • The mean must be 0.
    • All values are the same.
    • The median must be 0.
    • The range must be 1.
  20. Question 20
    • The mean is greater than the median.
    • The relationship cannot be determined.
    • The mean is equal to the median.
    • The mean is less than the median.
  21. Question 21
    • The variables have a weak linear relationship, but a nonlinear relationship exists.
    • The variables have a weak positive relationship.
    • The variables have a strong positive linear relationship.
    • There is no relationship between the variables.
  22. Question 22
    • The sum of the squared horizontal distances from the points to the line.
    • The sum of the squared perpendicular distances from the points to the line.
    • The sum of the vertical distances from the points to the line.
    • The sum of the squared vertical distances from the points to the line.
  23. Question 23
    • Has a large residual.
    • Is an outlier in the x-direction and has a large effect on the slope.
    • Has a y-value far from the regression line.
    • Has an x-value equal to the mean x.
  24. Question 24
    • The linear model fits the data well.
    • There are outliers in the data.
    • A linear model is not appropriate for the data.
    • The correlation is close to 1.
  25. Question 25
    • For each one-unit increase in x, the predicted value of y increases by 2.5.
    • When x = 0, the predicted value of y is -2.5.
    • The correlation is -2.5.
    • For each one-unit increase in x, the predicted value of y decreases by 2.5.
  26. Question 26
    • There is a strong positive linear relationship between study hours and exam score.
    • Increasing study hours causes exam scores to increase.
    • The slope of the regression line is 0.85.
    • 85% of the variation in exam scores is explained by study hours.
  27. Question 27
    • $23,500
    • $17,500
    • $32,500
    • $26,500
  28. Question 28
    • Students with high GPAs tend to play many video games.
    • Playing video games causes a student to have a lower GPA.
    • 92% of the variation in GPA is due to video game hours.
    • The strong negative association suggests that students who play more video games tend to have lower GPAs.
  29. Question 29
    • The observed y minus the predicted y.
    • The observed x minus the predicted x.
    • The predicted y minus the observed y.
    • The observed y minus the mean y.
  30. Question 30
    • The slope of the least-squares line is 0.99.
    • The points fall very close to an increasing straight-line pattern.
    • Changing x causes a predictable change in y.
    • The relationship must be causal.
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