Learning statistics using R. (2014)

• Record Type: Book
• Further Information: Note: Randall E. Schumacker, The University of Alabama.
• Authors: Schumacker, Randall E
• Contents: 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
• Publisher Details: Thousand Oaks : SAGE Publications, Inc
• Publication Date: 2014
• Extent: 1 online resource (648 pages)
• Subjects: 519.50285/5133; R (Computer program language); Statistics -- Data processing
• Languages: English
• ISBNs: 9781483324777
• Related ISBNs: 148332477X
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.