Clear-Sighted Statistics is an Open Educational Resource. It is an introductory statistics textbook intended for students of Business and the Social Sciences. This work has a Creative Commons license. You are free to share derivatives of this work for non-commercial purposes only. Please attribute this work to Edward Volchok. ISBN: 978-1-7923-3623-2

# Clear-Sighted Statistics

An Introduction to Statistics Textbook

The discipline of Statistics is in the midst of a paradigm shift. Clear-Sighted Statistics is an open access introductory textbook that addresses the shortcomings of current introductory textbooks. Clear-Sighted Statistics covers topics introductory textbooks ignore or mishandle, including: 1) How to conduct statistical analyses using Microsoft Excel as well as by hand. 2) How valid and reliable data are obtained. 3) The measurement of a standardized effect size. 4) The difference between practical and statistical significance. 5) What p-values actually tell us. 6) The importance of statistical power. 7) How to calculate statistical power and the probability of committing a Type II error. In addition, while the difference between correlation and causation has been a staple of Statistics books since the turn of the twentieth century, Clear-Sighted Statistics reviews how to establish causal relationships using random controlled tests and observational studies; these important topics are rarely, if ever, reviewed in introductory textbooks.

## Clear-Sighted Statistics

Clear-Sighted Statistics is an introduction to Statistics textbook.

### Clear-Sighted Statistics: An Introduction to Statistics

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#### Chapter 1: Introduction to Statistics

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#### Chapter 2: Types of Data

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#### Chapter 3: Where Do Data Come From?

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#### Chapter 4: Picturing Data With Tables and Charts

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#### Chapter 5: Statistical Measures

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#### Chapter 6: Index Numbers

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#### Chapter 7: Probability

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#### Chapter 8 Discrete Probability Distributions

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#### Chapter 9: Normal Probability Distributions

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#### Chapter 10: Sampling and Sampling Errors

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#### Chapter 11: Confidence Intervals

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#### Chapter 12: Estimating Sample Size

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#### Chapter 13: Introduction to Null Hypothesis Significance Testing

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#### Chapter 14: One-Sample Null Hypothesis Significance Tests

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#### Chapter 15: Two-Sample Null Hypothesis Significance Tests

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#### Chapter 16: One-Way ANOVA

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#### Chapter 17: Chi-Square Tests

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#### Chapter 18: Linear Correlation and Regression

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#### Chapter 19: Wrapping Up

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#### Appendix 1: Math Review

by Edward VolchokA review of the arithmetic and math needed for an introduction to Statistics course.

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#### Appendix 2: Statistical Tables

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#### Appendix 3: Statistical Symbols and Formulas

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#### Appendix 4: Powerpoint and YouTube Video Links

by Edward VolchokLinks to Powerpoint lectures posted on Dropbox and video lectures posted on YouTube

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## Metadata

- isbn978-1-7923-3623-2
- original publisherEdward Volchok
- original publisher placeNew York, NY USA
- publisherEdward Volchok
- publisher placeNew York City
- restrictionsDerivatives with Attribution allowed. No commercial use.
- rightsCreative Commons
- rights holderEdward Volchok
- rights territoryUS & International

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