TY  - BOOK
AU  - Greenwood,Mark C.
ED  - Open Textbook Library
TI  - Intermediate Statistics with R
T2  - Open textbook library
AV  - QA1 
CY  - Minneapolis, MN
PB  - Open Textbook Library
KW  - Mathematics
KW  - Textbooks
KW  - Applied mathematics
KW  - Statistics
N1  - 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
N2  - 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
UR  - https://open.umn.edu/opentextbooks/textbooks/1078
ER  -