Preface
Contained in this volume are the solutions to homework problems in the Probability and Statistics for Scientists and Engineers book.
0.1 Book Structure and How to Use It
This solutions manual is set up to match the structure of the accompanying book.
The learning outcomes for this course are to use computational and mathematical statistical/probabilistic concepts for:
- Developing probabilistic models.
- Developing statistical models for description, inference and prediction.
- Advancing practical and theoretical analytic experience and skills.
0.2 Packages
These notes make use of the following packages in R knitr (Xie 2022), rmarkdown (Allaire et al. 2022), mosaic (Pruim, Kaplan, and Horton 2021), mosaicCalc (Kaplan, Pruim, and Horton 2022), tidyverse (Wickham 2022), ISLR (James et al. 2021), vcd (Meyer, Zeileis, and Hornik 2022), ggplot2 (Wickham et al. 2022), MASS (Ripley 2022), openintro (Çetinkaya-Rundel et al. 2022), broom (Robinson, Hayes, and Couch 2022), infer (Bray et al. 2022), kableExtra (Zhu 2021), DT (Xie, Cheng, and Tan 2022).
This book is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.