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.

MANOVA

Image 54
  • More than one measure
  • More than two groups
  • Big budget

Multiple analysis of variance (MANOVA) is a somewhat different extension of ANOVA than is ANCOVA. Instead of adding covariates into the mix, it adds other measures that are also targets of our questions. The questions addressed by MANOVA are about multiple dependent variables with (usually) only one grouping variable on the independent variable side, no covariates. To return to the earlier example of height difference across lunch period conditions, the principal could ask: Is there a simultaneous effect on both height and weight across the three lunch periods? Extending the earlier height question, we are now asking about both height and weight, and at the same time. That is the realm of MANOVA, multiple measures ...

locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles