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New Textbook on Hypothesis Tests, ANOVA and Regression using JMP !


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.



Congratulations!  Looking forward to this great new book Peter!