The ideal supplement and study guide for students preparing for
advanced statistics
Packed with fresh and practical examples appropriate for a range
of degree-seeking students, "Statistics II For Dummies" helps any
reader succeed in an upper-level statistics course. It picks up
with data analysis where "Statistics For Dummies" left off,
featuring new and updated examples, real-world applications, and
test-taking strategies for success. This easy-to-understand guide
covers such key topics as sorting and testing models, using
regression to make predictions, performing variance analysis
(ANOVA), drawing test conclusions with chi-squares, and making
comparisons with the Rank Sum Test.
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