RandomSamplingand DataCollectionSetting Up aTest for theSlope of aRegressionModelJustifying aClaim About aPopulationMean Based ona ConfidenceIntervalResidualsCarrying Out aTest for theDifference ofTwo PopulationProportionsTheGeometricDistributionLeastSquaresRegressionFree!Carrying Out aChi-SquareTest forHomogeneity orIndependenceInterpretingP-ValuesMean andStandardDeviation ofRandomVariablesJustifying a ClaimAbout theDifference of TwoMeans Based ona ConfidenceIntervalSamplingDistributionsfor SampleMeansSamplingDistributionsfor SampleProportionsSummaryStatistics foraQuantitativeVariableRepresentingTwoCategoricalVariablesTheNormalDistributionCombiningRandomVariablesConditionalProbabilityDescribing theDistribution ofa QuantitativeVariableSetting Upa Test for aPopulationMeanIntroductiontoExperimentalDesignComparingDistributionsof aQuantitativeVariableConfidenceIntervals forthe Differenceof TwoProportionsPotentialErrors WhenPerformingTestsRepresentinga CategoricalVariable withGraphsCarrying Outa Test for aPopulationMeanConstructinga ConfidenceInterval for aPopulationProportionConfidenceIntervals forthe Slope ofa RegressionModelRandomSamplingand DataCollectionSetting Up aTest for theSlope of aRegressionModelJustifying aClaim About aPopulationMean Based ona ConfidenceIntervalResidualsCarrying Out aTest for theDifference ofTwo PopulationProportionsTheGeometricDistributionLeastSquaresRegressionFree!Carrying Out aChi-SquareTest forHomogeneity orIndependenceInterpretingP-ValuesMean andStandardDeviation ofRandomVariablesJustifying a ClaimAbout theDifference of TwoMeans Based ona ConfidenceIntervalSamplingDistributionsfor SampleMeansSamplingDistributionsfor SampleProportionsSummaryStatistics foraQuantitativeVariableRepresentingTwoCategoricalVariablesTheNormalDistributionCombiningRandomVariablesConditionalProbabilityDescribing theDistribution ofa QuantitativeVariableSetting Upa Test for aPopulationMeanIntroductiontoExperimentalDesignComparingDistributionsof aQuantitativeVariableConfidenceIntervals forthe Differenceof TwoProportionsPotentialErrors WhenPerformingTestsRepresentinga CategoricalVariable withGraphsCarrying Outa Test for aPopulationMeanConstructinga ConfidenceInterval for aPopulationProportionConfidenceIntervals forthe Slope ofa RegressionModel

AP Stats Review - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
  1. Random Sampling and Data Collection
  2. Setting Up a Test for the Slope of a Regression Model
  3. Justifying a Claim About a Population Mean Based on a Confidence Interval
  4. Residuals
  5. Carrying Out a Test for the Difference of Two Population Proportions
  6. The Geometric Distribution
  7. Least Squares Regression
  8. Free!
  9. Carrying Out a Chi-Square Test for Homogeneity or Independence
  10. Interpreting P-Values
  11. Mean and Standard Deviation of Random Variables
  12. Justifying a Claim About the Difference of Two Means Based on a Confidence Interval
  13. Sampling Distributions for Sample Means
  14. Sampling Distributions for Sample Proportions
  15. Summary Statistics for a Quantitative Variable
  16. Representing Two Categorical Variables
  17. The Normal Distribution
  18. Combining Random Variables
  19. Conditional Probability
  20. Describing the Distribution of a Quantitative Variable
  21. Setting Up a Test for a Population Mean
  22. Introduction to Experimental Design
  23. Comparing Distributions of a Quantitative Variable
  24. Confidence Intervals for the Difference of Two Proportions
  25. Potential Errors When Performing Tests
  26. Representing a Categorical Variable with Graphs
  27. Carrying Out a Test for a Population Mean
  28. Constructing a Confidence Interval for a Population Proportion
  29. Confidence Intervals for the Slope of a Regression Model