Foundations in Statistical Reasoning
by Pete Kaslik
Number of pages: 310
Table of Contents: Statistical Reasoning; Obtaining Useful Evidence; Examining the Evidence Using Graphs and Statistics; Inferential Theory; Testing Hypotheses; Confidence Intervals and Sample Size; Analysis of Bivariate Quantitative Data; Chi Square; In-class Activities.
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The popular introduction to statistics for students of economics or business. Presents an approach that is generally available only in much more advanced texts, yet uses the simplest mathematics consistent with a sound presentation.
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Beginning with classical inferential theories, the book takes up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, etc.
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