Prepare for exams and succeed in your statistics course with this comprehensive solutions manual! Featuring worked out-solutions to the problems in THE STATISTICAL SLEUTH: A COURSE IN METHODS OF DATA ANALYSIS, 2nd Edition, this manual shows you how to approach and solve problems using the same step-by-step explanations found in your textbook. Amazon.in - Buy Student Solutions Manual for Ramsey/Schafer's The Statistical Sleuth: A Course in Methods of Data Analysis, 3rd book online at best prices in India on Amazon.in. Read Student Solutions Manual for Ramsey/Schafer's The Statistical Sleuth: A Course in Methods of Data Analysis, 3rd book reviews & author details and more at Amazon.in. Free delivery on qualified orders.
The Statistical Sleuth A Course in Methods of Data Analysis
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Author : Fred Ramsey
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Download »THE STATISTICAL SLEUTH: A COURSE IN METHODS OF DATA ANALYSIS, Third Edition offers an appealing treatment of general statistical methods that takes full advantage of the computer, both as a computational and an analytical tool. The material is independent of any specific software package, and prominently treats modeling and interpretation in a way that goes beyond routine patterns. The book focuses on a serious analysis of real case studies, strategies and tools of modern statistical data analysis, the interplay of statistics and scientific learning, and the communication of results. With interesting examples, real data, and a variety of exercise types (conceptual, computational, and data problems), the authors get students excited about statistics. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version. File Size : 71.67 MB
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The Statistical Sleuth (3rd edition) in R
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These files are intended to help describe how to undertake analyses introduced as examples in the first 13 chapters of the Third Edition of the Statistical Sleuth: A Course in Methods of Data Analysis (2013), the excellent text by Fred Ramsey and Dan Schafer. An equivalentfor the second edition can be found at http://www.math.smith.edu/~nhorton/sleuth.
This work leverages efforts undertaken by Project MOSAIC, an NSF-funded initiative to improve the teaching of statistics, calculus, science and computing in the undergraduate curriculum. In particular, we utilize the mosaic package, which was written to simplify the use of R for introductory statistics courses. A short summary of the R needed to teach introductory statistics can be found in the mosaic package vignette located here.
Other R packages used include MASS, Sleuth3, agricolae, car, gmodels, leaps and xtable.
We have include both formatted pdf files as well as the original knitr files which were used to generate the output. Knitr is an elegant, flexible and fast means to undertake reproducible analysisand dynamic report generation within R and RStudio. Comments, suggestions and corrections welcomed.
Nicholas Horton, Linda Loi, Kate Aloisio, and Ruobing Zhang (last updated January 21, 2013)
The Statistical Sleuth Solutions Manual Online
pdf and knitr files
The Statistical Sleuth Solutions Manual Free
- Chapter 1 (2 group comparisons and resampling): pdfknitr
- Chapter 2 (2 group comparisons using t-tests): pdfknitr
- Chapter 3 (a closer look at assumptions): pdfknitr
- Chapter 4 (non-parametric 2 group comparisons): pdfknitr
- Chapter 5 (more than 2 groups): pdfknitr
- Chapter 6 (linear combinations and multiple comparisons): pdfknitr
- Chapter 7 (linear regression): pdfknitr
- Chapter 8 (even more linear regression): pdfknitr
- Chapter 9 (multiple regression): pdfknitr
- Chapter 10 (inference for multiple regression): pdfknitr
- Chapter 11 (model checking and refinement): pdfknitr
- Chapter 12 (variable selection): pdfknitr
- Chapter 13 (two-way ANOVA): pdfknitr
- Additional file needed to compile: language.sty
- Additional files which also may needed to compile: xcolor.sty, xstring.sty, and/orxstring.tex