Intermediate Statistics with R
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 me...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Bozeman, Montana
Montana State University
[2021]
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| Series: | Open textbook library.
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| Subjects: | |
| Online Access: | Access online version |
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| 100 | 1 | |a Greenwood, Mark C. |e author | |
| 245 | 0 | 0 | |a Intermediate Statistics with R |c Mark Greenwood |
| 264 | 2 | |a Minneapolis, MN |b Open Textbook Library | |
| 264 | 1 | |a Bozeman, Montana |b Montana State University |c [2021] | |
| 264 | 4 | |c ©2021. | |
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| 336 | |a text |b txt |2 rdacontent | ||
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| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 0 | |a Open textbook library. | |
| 505 | 0 | |a 1 Preface -- 2 (R)e-Introduction to statistics -- 3 One-Way ANOVA -- 4 Two-Way ANOVA -- 5 Chi-square tests -- 6 Correlation and Simple Linear Regression -- 7 Simple linear regression inference -- 8 Multiple linear regression -- 9 Case studies | |
| 520 | 0 | |a 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. | |
| 542 | 1 | |f Attribution-NonCommercial | |
| 546 | |a In English. | ||
| 588 | 0 | |a Description based on online resource | |
| 650 | 0 | |a Mathematics |v Textbooks | |
| 650 | 0 | |a Applied mathematics |v Textbooks | |
| 650 | 0 | |a Statistics |v Textbooks | |
| 710 | 2 | |a Open Textbook Library |e distributor | |
| 856 | 4 | 0 | |u https://open.umn.edu/opentextbooks/textbooks/1078 |z Access online version |