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Introduction to Statistics guides students through the core concepts of estimation and hypothesis testing early in a statistics course, following a concise overview of data organization and basic probability. The book emphasizes nonparametric techniques based on elementary sample differences, developing the Wilcoxon‑Mann‑Whitney test and associated estimates. These ideas are extended to the one‑sample problem, linear regression, and rank correlation. Further chapters cover the Kruskal‑Wallis and Friedman tests for multi‑sample comparisons. The text concludes with discussions of chi‑square tests for categorical data, binomial data analysis, and the computation of power and sample size. Each chapter includes an appendix with Minitab commands to support practical data analysis.
First publish date: 1971
Genre: Science/Chemistry
Authors: Gottfried E. Noether
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Introduction to statistics by Gottfried E. Noether

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