This Second Edition of The Tao of Statistics: A Path to Understanding (With No Math) provides a reader-friendly approach to statistics in plain English. Unlike other statistics books, this text explains what statistics mean and how they are used, rather than how to calculate them. The book walks readers through basic concepts as well as some of the most complex statistical models in use. The Second Edition adds coverage of big data to better address its impact on p-values and other key concepts; material on small data to show readers how to handle data with fewer data points than optimal; and other new topics like missing data and effect sizes. The book’s two characters (a high school principal and a director of public health) return in the revised edition, with their examples expanded and updated with reference to contemporary concerns in the fields of education and health.

Likely Range—Confidence Intervals

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  • Twixt here and there
  • Most of the time
  • Safety in disclosure

Confidence intervals are created to show the likely range of an estimate. Frequently, they are set so that the estimate would fall between the two ends of the range 95% of the time the research might be repeated. A lesser level of certainty would result in a smaller interval but less assurance of it holding true as often. They also are used to show the likely range for the size of an effect or for the strength of a relationship.

Every inferential statistic could have a confidence interval wrapped around it. Most should. Confidence intervals show the extent to which estimates could be inaccurate. They can be used for means, correlations, percentages, and ...

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