This is a first course in statistics with an emphasis on statistical inference. Concepts are introduced and reinforced with examples and exercises from a wide range of fields from sports to medicine. The treatment of P values is expanded and answers to hypothesis testing are given both in P value, and in a more traditional approach. Optional sections on sampling, box-and-whisker plots, counting techniques and designs of experiments are included.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Key Features of the Fourth Edition
∗ Chapter 4, Probability, is now optional
∗ Ten new smaller data sets, in addition to the hallmark Framingham Heart Study Data
∗ Streamlined! – Organizing Data and Describing Data are now combined into a single chapter
∗ Examples and Exercises include a stronger emphasis on statistical thinking and exploratory data analysis
∗ Additional computer output from Minitab, Data Desk, JMP, SPSS, Resampling Stats, Maple V, and Mathematica
This introduction to general statistics focuses on statistical inference. All technical terms are defined in easy to understand language and definitions, important formulas, and summaries of statistical tests are highlighted for quick reference. This edition features more use of exploratory data analysis.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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