Providing easy-to-use R script programs that teach descriptive statistics, graphing, and other statistical methods,Learning Statistics Using Rshows readers how to run and utilize R, a free integrated statistical suite that has an extensive library of functions.

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Randall E. Schumackers comprehensive book describes in detail the processing of variables in statistical procedures. Covering a wide range of topics, from probability and sampling distribution to statistical theorems and chi-square, this introductory book helps readers learn not only how to use formulae to calculate statistics, but also how specific statistics fit into the overall research process.

Learning Statistics Using Rcovers data input from vectors, arrays, matrices and data frames, as well as the input of data sets from SPSS, SAS, STATA and other software packages. Schumackers text provides the freedom to effectively calculate, manipulate, and graphically display data, using R, on different computer operating systems without the expense of commercial software.Learning Statistics Using Rplaces statistics within the framework of conducting research, where statistical research hypotheses can be directly addressed. Each chapter includes discussion and explanations, tables and graphs, and R functions and outputs to enrich readers understanding of statistics through statistical computing and modeling.

PART I. Introduction and Background
1. R Basics
2. Research Methods
3. Probability
4. Sampling and Populations
PART II. Statistical Theory and Inference
5. Central Limit Theorem
6. Sampling Distributions
7. Statistical Distributions
PART III. Descriptive Methods
8. Graphing Data
9. Central Tendency and Dispersion
PART IV. Statistical Methods
10. Hypothesis Testing
11. Chi-Square Test for Categorical Data
12. z Test for Differences in Proportions
13. t Test for Mean Differences (2 groups)
14. F Test for Mean Differences (3 or more groups)
15. Correlation Tests of Association
16. Linear Regression Tests of Prediction
17. Multiple Regression
18. Logistic Regression
19. Loglinear Regression
PART V. Replication and Validation of Research Findings
20. Replication of Statistical Tests
21. Synthesis of Research Findings
Glossary of Terms
Glossary of Packages, Functions, and Commands Used in Book
Statistical Tables
Guide for Selecting a Statistical Test