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.

Abundance—Multivariate Analysis

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  • Wind, tide, sails, and heading
  • Colors fill the bay
  • An invisible line keeps score

Complicated questions can require that complex models and many covariates be addressed; this is known as multivariate analysis. Additionally, as a society, we are loath (thankfully) to conduct true social experiments. For example, for many questions involving the effect of nutrition and other environmental factors on adult characteristics and choices, society could deliberately separate identical twins at birth and place them in conditions that would inform the differences in question. We do not allow those types of experiments and generally would rebel against anything remotely similar to them. One result of our ethics and morals is that we rarely have conditions between or among groups that can be considered functionally ...

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