AP Statistics Exam Prep Course

AP Exam Prep

Course Overview

Lessons & Practice

I. Welcome

1. Calculating and Interpreting Statistics

49min

1.1.1. Measures of Central Tendency7 min

1.1.2. Mean and Median Example2 min

1.1.3. Practice

1.1.4. Practice2 min

1.1.5. Practice3 min

1.2.1. Skewness and Symmetry 6 min

1.2.2. Practice

1.3.1. Percentiles4 min

1.3.2. Example2 min

1.3.3. Practice

1.4.1. Range and Interquartile Range11 min

1.4.2. Variance and Standard Deviation6 min

1.4.3. Practice3 min

1.4.4. Practice3 min

1.4.5. Practice

2. Presenting Quantitative Data

42min

2.1.1. Boxplots and Five Number Summary9 min

2.1.2. Practice4 min

2.1.3. Practice

2.2.1. Histograms4 min

2.2.2. Practice2 min

2.2.3. Practice2 min

2.2.4. Practice

2.3.1. Frequency Polygons2 min

2.3.2. Practice4 min

2.4.1. Stemplots (Stem-and-Leaf Plots)2 min

2.4.2. Practice3 min

2.5.1. Times Series Plots2 min

2.5.2. Practice2 min

2.6.1. Dot Plots5 min

2.6.2. Practice

3. Presenting Categorical Data

20min

3.1.1. Pie Chart3 min

3.1.2. Practice

3.2.1. Bar Chart3 min

3.2.2. Practice

3.3.1. Segmented Bar Chart (or Stacked Columns)3 min

3.3.2. Practice4 min

3.4.1. Contingency Table (Two-Way Table)4 min

3.4.2. Simpson’s Paradox3 min

3.4.3. Practice

4. The Normal Distribution

51min

4.1.1. Normal Distribution11 min

4.1.2. Practice5 min

4.2.1. Standard Normal Distribution (Z-Scores)11 min

4.2.2. Standardizing a Normal Random Variable4 min

4.2.3. Example10 min

4.2.4. Practice6 min

4.2.5. Practice3 min

5. Associations in Bivariate Data and Correlation

10min

5.1.1. Scatterplots5 min

5.1.2. Practice

5.2.1. Correlation5 min

5.2.2. Practice

6. Linear Regression

45min

6.1.1. Solving for the Regression Line (r, Sy, Sx Method)5 min

6.1.2. Example7 min

6.1.3. Practice (Version 1)3 min

6.1.4. Solving for the Regression Line (Least Squares Method)2 min

6.1.5. Example5 min

6.1.6. Practice (Version 2)5 min

6.2.1. Predictions3 min

6.2.2. Residuals (Errors)5 min

6.2.3. Practice

6.2.4. Residual Plots2 min

6.2.5. Regression Diagnostics 5 min

6.2.6. Practice

6.2.7. Standard Deviation of the Residuals5 min

6.2.8. Practice

7. Collecting Data and Sampling Methods

44min

7.1.1. Introduction to Statistics4 min

7.1.2. Sample vs. Population7 min

7.1.3. Practice

7.1.4. Measurement Scales7 min

7.1.5. Practice

7.2.1. Statistical Sampling28 sec

7.2.2. Convenience Sampling1 min

7.2.3. Simple Random Sampling3 min

7.2.4. Systematic Sampling2 min

7.2.5. Stratified Sampling vs. Cluster Sampling6 min

7.2.6. Two-Stage Cluster Sampling2 min

7.2.7. Practice

7.2.8. Practice

7.2.9. Practice

7.3.1. Sampling Bias7 min

7.3.2. Recipe for a Good Sample5 min

7.3.3. Practice

7.3.4. Practice

8. Experiments and Observational Studies

23min

8.1.1. Observational Studies4 min

8.1.2. Experimental Studies3 min

8.1.3. Example5 min

8.1.4. Practice

8.2.1. Types of Experimental Designs7 min

8.2.2. Principles of Experimental Design4 min

8.2.4. Practice

8.2.5. Practice

9. Probability

47min

9.1.1. Events & Sample Spaces6 min

9.1.2. Types of Probability6 min

9.1.3. Probability Language & Notation4 min

9.1.4. Example3 min

9.1.5. Independent vs. Mutually Exclusive Events4 min

9.1.6. Example2 min

9.1.7. Practice

9.2.1. Venn Diagrams3 min

9.2.2. Tree Diagrams4 min

9.2.3. Two-way Table5 min

9.3.1. Interpretation of Probability2 min

9.3.2. Complement Rule3 min

9.3.3. Practice1 min

9.3.4. The Addition Rule4 min

10. Random Variables and Probability Distributions

1.9hr

10.1.1. Discrete Random Variables8 min

10.1.2. Practice

10.1.3. Probability Distribution Function4 min

10.1.4. Expected Value, Variance, and Standard Deviation of Discrete Random Variables6 min

10.1.5. Example5 min

10.1.6. Example4 min

10.1.7. Practice6 min

10.1.8. Practice4 min

10.1.9. Practice

10.2.1. Combining Random Variables7 min

10.2.2. Example2 min

10.2.3. Practice2 min

10.2.4. Example3 min

10.2.5. Practice

10.2.6. Functions of Two Independent Random Variables X and Y5 min

10.2.7. Example3 min

10.2.8. Practice

10.2.9. Practice2 min

10.3.1. Cumulative Distribution Function (CDF)3 min

10.3.2. Example6 min

10.3.3. Practice2 min

10.4.1. Transforming Data: Shifting & Scaling11 min

10.4.2. Practice2 min

10.4.3. Linear Transformation3 min

10.4.4. Example4 min

10.4.5. Practice2 min

10.5.1. Conditional Probability & Joint Distribution7 min

10.5.2. Example5 min

10.5.3. Practice

10.5.4. Random Variables & Joint Distribution7 min

10.5.5. Example3 min

10.5.6. Practice

10.5.7. Example

10.5.8. Practice

11. Discrete Probability Distributions

29min

11.1.1. Binomial Experiment4 min

11.1.2. Binomial Distribution8 min

11.1.3. Example10 min

11.1.4. Example1 min

11.1.5. Practice6 min

11.1.6. Practice

12. Sampling Distribution

59min

12.1.1. Sampling Variability & Sampling Distribution12 min

12.2.1. Central Limit Theorem 5 min

12.2.2. Sampling Distribution for a Mean2 min

12.2.3. Example9 min

12.2.4. Sampling Distribution for a Mean Question5 min

12.3.1. Sampling Distribution of Proportions5 min

12.3.2. Example3 min

12.3.3. Practice4 min

12.4.1. Drawing Samples From a Finite Population8 min

12.4.2. Example4 min

12.4.3. Practice3 min

13. Confidence Intervals for Mean and Proportion

48min

13.1.1. Introduction to Confidence Intervals14 min

13.2.1. Confidence Interval for a Mean13 min

13.2.2. Example4 min

13.2.3. Practice3 min

13.3.1. Confidence Interval for a Proportion2 min

13.3.2. Example5 min

13.3.3. Practice4 min

13.4.1. Margin of Error and Sample Size3 min

13.4.2. Practice

14. Hypothesis Testing for Mean and Proportion

1.9hr

14.1.1. Introduction to Hypothesis Testing 15 min

14.1.2. Hypothesis Testing Steps25 min

14.2.1. Hypothesis Test for a Mean3 min

14.2.2. Example16 min

14.2.3. Example8 min

14.2.4. Practice4 min

14.3.1. Hypothesis Test for a Proportion10 min

14.3.2. Example4 min

14.3.3. Practice5 min

14.3.4. Practice9 min

14.4.1. Type I and Type II Errors5 min

14.4.2. Type I and Type II Errors1 min

14.4.3. Practice

14.4.4. Practice

14.4.5. Power7 min

14.4.6. Practice

15. Inference for Two Population Means

1.6hr

15.1.1. Comparing Two Independent Means9 min

15.1.2. Hypothesis Test Steps: Comparing Two Independent Means11 min

15.2.1. Unpooled t-test (Unequal Variances)4 min

15.2.2. Example (Unpooled)11 min

15.2.3. Practice (Unpooled)5 min

15.3.1. Pooled t-test (Equal Variances)3 min

15.3.2. Example (Pooled)7 min

15.3.3. Practice (Pooled)7 min

15.4.1. Confidence Interval for Differences in Population Means (Pooled and Unpooled)6 min

15.4.2. Confidence Interval for Two Means Containing Zero7 min

15.4.3. Confidence Interval for Two Means (Independent Populations)9 min

15.5.1. Confidence Interval Unpooled t2 min

15.5.2. Example: Confidence Interval (Unpooled)5 min

15.5.3. Practice (Unpooled)

15.6.1. Confidence Interval Pooled t2 min

15.6.2. Example: Confidence Interval w/ Pooled T-test5 min

15.6.3. Practice (Pooled)

16. Inference for Two Population Proportions

49min

16.1.1. Hypothesis Testing for Two Independent Population Proportions9 min

16.1.2. Hypothesis Test Steps: Comparing Two Independent Proportions8 min

16.1.3. Example13 min

16.1.4. Practice (Pooled)6 min

16.2.1. Confidence Interval for Differences in Population Proportions3 min

16.2.2. Confidence Interval for Two Proportions1 min

16.2.3. Example4 min

16.2.4. Practice4 min

17. Inference for Two Categorical Variables: Chi-Square

48min

17.1.1. Types of Chi Square Tests8 min

17.1.2. Chi-Square Test for "Goodness of Fit"4 min

17.1.3. Example7 min

17.1.4. Pratice9 min

17.1.5. Chi-Square Test for Independence5 min

17.1.6. Example8 min

17.1.7. Practice4 min

17.1.8. More on Chi-Square Tests3 min

18. Inference for Quantitative Data: Slopes

1.3hr

18.1.1. Estimating the Coefficients of the Linear Regression Model9 min

18.2.1. Confidence Interval for Linear Regression5 min

18.2.2. Example9 min

18.2.3. Practice3 min

18.2.4. Slope: The Significance of "Zero" (or Lack Thereof)6 min

18.2.5. Practice

18.3.1. Hypothesis Testing for Linear Regression14 min

18.3.2. Example17 min

18.3.3. Example13 min

18.3.4. Practice: Linear Regression Analysis6 min

I Welcome

Free Activity

Welcome to Wize's AP Statistics Course!
This Wize course covers the concepts you'll need to get a good score on your AP Statistics exam. You'll also find practice questions to help you master each concept.

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