Read e-book online Common Errors in Statistics (and How to Avoid Them) (4th PDF

By Phillip I. Good, James W. Hardin

ISBN-10: 1118294394

ISBN-13: 9781118294390

Uploader's Note: Ripped from Wiley Books Online.

Amazon hyperlink: http://www.amazon.com/Common-Errors-Statistics-Avoid-Them/dp/1118294394

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Additional resources for Common Errors in Statistics (and How to Avoid Them) (4th Edition)

Example text

Ingredients in a sample-size calculation Smallest Effect Size of Practical Interest Type I error (α) Probability of falsely rejecting the hypothesis when it is true. Type II error (1 − β[A]) Probability of falsely accepting the hypothesis when an alternative hypothesis A is true. Depends on the alternative A. Power = β[A] Probability of correctly rejecting the hypothesis when an alternative hypothesis A is true. Depends on the alternative A. , normal distribution Location parameters For both hypothesis and alternative hypothesis, μ1, μ2 Scale parameters For both hypothesis and alternative hypothesis, σ1, σ2 Sample sizes May be different for different groups in an experiment with more than one group.

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1. Strongly agree 2. Somewhat agree 3. Somewhat disagree 4. Strongly disagree 5. Not sure 6. Other 7. (Refuse to answer) Did all potential respondents assign the same meanings to “restriction” and “affordable”? What kind of restriction? Affordable to whom? Klein does not report how many individuals were posed the question or how many responded. Three other precautions can help ensure the success of your survey: 1. Award premiums only for fully completed forms. 2. Continuously tabulate and monitor submissions; do not wait to be surprised.

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Common Errors in Statistics (and How to Avoid Them) (4th Edition) by Phillip I. Good, James W. Hardin


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