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The Role of Confidence Intervals in Research

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The Role of Confidence Intervals in Research

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    1. Sta 208: Chapter 20 1 The Role of Confidence Intervals in Research Chapter 20

    2. Sta 208: Chapter 20 2 Thought Questions

    3. Sta 208: Chapter 20 3 Thought Questions

    4. Sta 208: Chapter 20 4 Thought Questions

    5. Sta 208: Chapter 20 5 Thought Questions

    6. Sta 208: Chapter 20 6 Case Study I

    7. Sta 208: Chapter 20 7 Case Study I: Results

    8. Sta 208: Chapter 20 8 The Rule for Sample Means

    9. Sta 208: Chapter 20 9 Standard Error of the (Sample) Mean SEM = standard error (standard deviation from the sample) = divided by (square root of the sample size) =

    10. Sta 208: Chapter 20 10 Case Study I: Results

    11. Sta 208: Chapter 20 11 Case Study I: Confidence Intervals

    12. Sta 208: Chapter 20 12 Careful Interpretation of a Confidence Interval 95% of all samples of size 29 from the population of exercisers should yield a sample mean within two standard errors of the population mean. Thus, we feel that plausible values for the population of exercisers’ mean resting pulse rate are between 62.8 and 69.2. This does not mean that 95% of all people who exercise regularly will have resting pulse rates between 62.8 and 69.2.

    13. Sta 208: Chapter 20 13 Case Study I: Confidence Intervals

    14. Sta 208: Chapter 20 14 Case Study II

    15. Sta 208: Chapter 20 15 Case Study II: Sample

    16. Sta 208: Chapter 20 16 Case Study II: Report

    17. Sta 208: Chapter 20 17 Case Study II: Confidence Intervals

    18. Sta 208: Chapter 20 18 Case Study III

    19. Sta 208: Chapter 20 19 Case Study III: Sample

    20. Sta 208: Chapter 20 20 Case Study III: Results

    21. Sta 208: Chapter 20 21 Case Study III: Results

    22. Sta 208: Chapter 20 22 Key Concepts Compute confidence intervals for means based on one sample Interpret confidence intervals for means Interpret confidence intervals in general (e.g., difference between two means, or relative risk)

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