David Meintrup and I just finished checking the proofs of new book "Statistics with JMP: Hypothesis Tests, ANOVA and Regression"! Unique features of the books: • combines in-depth explanation of methods with demos in JMP, • discusses the best tests and confidence intervals (these are not always the best known ones), • excellent explanation of appropriate nonparametric tests for small sample sizes, • a chapter on equivalence testing, • an easy to understand introduction to optimal design of experiments (in the context of constructing confidence intervals for 2 populations; a must for every stats class); • readable explanations concerning exact p-values, • uses the newest available tables of critical values for Shapiro-Wilk and Kruskal-Wallis tests, • a clear discussion of power calculations and sample size determinations, • a readable explanation of why O'Brien's test for multiple variances should be preferred over Bartlett's and Levene's tests. This sequel to our book "Statistics with JMP: Graphs, Descriptive Statistics and Probability" appears in April! It'll be published by Wiley.
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