Statistics

Chapters Instruction Practice

Part 1: Exploring and Understanding Data

 

1. Stats Starts Here

2. Displaying and Describing Categorical Data

3. Displaying and Summarizing Quantative Data

4. Understanding and Comparing Distributions

5. The Standard Deviations as a Ruler and the Normal Model

1. Stats Starts Here

2. Displaying and Describing Categorical Data

3. Displaying and Summarizing Quantative Data

4. Understanding and Comparing Distributions

5. The Standard Deviations as a Ruler and the Normal Model

Part 2: Exploring Relationships Between Variables

 

6. Scatterplots, Association, and Correlation

7. Linear Regression

8. Regression Wisdom

9. Re-expressing Data: Get It Straight!

6. Scatterplots, Association, and Correlation

7. Linear Regression

8. Regression Wisdom

9. Re-expressing Data: Get It Straight!

Part 3: Gathering Data

 

10. Understanding Randomness

11. Sample Surveys

12. Experiments and Observational Studies

10. Understanding Randomness

11. Sample Surveys

12. Experiments and Observational Studies

Part 4: Randomness and Probability 

 

13. From Randomness to Probability

14. Probability Rules!

15. Random Variables

16. Probability Models

13. From Randomness to Probability

14. Probability Rules!

15. Random Variables

16. Probability Models

Part 5: From the Data at Hand to the World at Large

 

17. Sampling Distribution Models

18. Confidence Intervals for Proportions

19. Testing Hypotheses About Proportions

20. More About Tests and Intervals

21. Comparing Two Proportions

17. Sampling Distribution Models

18. Confidence Intervals for Proportions

19. Testing Hypotheses About Proportions

20. More About Tests and Intervals

21. Comparing Two Proportions

Part 6: Learning About the World

 

22. Inferences About Means

23. Comparing Means

24. Paired Samples and Blocks

22. Inferences About Means

23. Comparing Means

24. Paired Samples and Blocks

Part 7: Inference When Variables Are Related

 

25. Comparing Counts

26. Inferences for Regression

27. Analysis of Variance

28. Multiple Regression

25. Comparing Counts

26. Inferences for Regression

27. Analysis of Variance

28. Multiple Regression


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