Understanding statistics using R / Randall Schumacker and Sara Tomek.
Material type:
TextPublication details: New York : Springer, 2013.Description: xvi, 289 p. : illustrations (some color) ; 24 cmISBN: - 9781461462262
- 23 Sch392 000SA.055
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.055 Sch392 (Browse shelf(Opens below)) | Available | 135535 |
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| 000SA.055 R215 Computational statistics with R / | 000SA.055 R236 Statistical and machine-learning data mining : techniques for better predictive modeling and analysis of big data / | 000SA.055 Sa158 Three stochastic models on discrete structures / | 000SA.055 Sch392 Understanding statistics using R / | 000SA.055 Su955 Statistical learning and data science / | 000SA.055 Ug26 Probability and statistics with R / | 000SA.055 V574 Using R for introductory statistics / |
Includes index.
1. R Fundamentals --
2. Probability --
3. Statistical Theory --
4. Frequency Distributions --
5. Central Tendency and Dispersion --
6. Statistical Distributions --
7. Hypothesis Testing --
8. Chi-Square Test --
9. z-Test --
10. t-Test --
11. F-Test --
12. Correlation --
13. Linear Regression --
14. Replication of Results --
15. Synthesis of Findings--
Glossary of Terms--
Appendix--
Author Index--
Subject Index.
This book was written as a supplemental text for use with introductory or intermediate statistics books. The content of each chapter is appropriate for any undergraduate or graduate level statistics course. The chapters are ordered along the lines of many popular statistics books so it should be easy to supplement the chapter content and exercises with your statistics books and lecture materials. The content of each chapter was written to enrich a students' understanding of statistics using R simulation programs. The chapter exercises reinforce an understanding of the statistical concepts presented in the chapters."--Preface.
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