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.


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  • Multiple measures
  • Multiple groups and controls
  • End of the pier

Multiple analysis of covariance (MANCOVA) is the end of the ANOVA pier—and it is a real seatbelt-tightener. It addresses questions about group differences in simultaneous dependent variables in the face of other characteristics that need to be accommodated (covariates). This method addresses questions about, say, simultaneous differences in height and weight among the three lunch period groups of students after controlling for differences in their starting characteristics and nutrition at and away from home. The different starting conditions are different beginning-of-year heights and weights for the three lunch periods. The director of public health could look at the effects of ethnicity on immunization rates and diabetic eye exam rates while controlling for access and average ...

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