Intermediate Statistics with R

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Tác giả: Mark C Greenwood

Ngôn ngữ: eng

Ký hiệu phân loại: 519.5 Statistical mathematics

Thông tin xuất bản: Bozeman, Montana : Montana State University, 2021

Mô tả vật lý: 1 online resource

Bộ sưu tập: Tài liệu truy cập mở

ID: 312434

Introductory statistics courses prepare students to think statistically but cover relatively few statistical methods. Building on the basic statistical thinking emphasized in an introductory course, a second course in statistics at the undergraduate level can explore a large number of statistical methods. This text covers more advanced graphical summaries, One-Way ANOVA with pair-wise comparisons, Two-Way ANOVA, Chi-square testing, and simple and multiple linear regression models. Models with interactions are discussed in the Two-Way ANOVA and multiple linear regression setting with categorical explanatory variables. Randomization-based inferences are used to introduce new parametric distributions and to enhance understanding of what evidence against the null hypothesis "looks like". Throughout, the use of the statistical software R via Rstudio is emphasized with all useful code and data sets provided within the text. This is Version 3.0 of the book.
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