Statistics for the Social Sciences , Using Excel
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Product details:
- Publisher OUP Southern Africa
- Date of Publication 1 August 2014
- ISBN 9780199051830
- Binding Paperback
- No. of pages544 pages
- Language English 0
Categories
Short description:
Statistics for the Social Sciences using Excel offers an excellent and helpful introduction to business statistics for students who require a first course, providing all of the explanation, tools, and skills which are required in order to master the subject matter. Thorough, clear and accessible, the text guides students in a progressive, step-by-step manner through the theoretical concepts and techniques, and supports understanding by providing extensive examples from a
South African context. The text assumes no prior knowledge of the subject, and includes refresher chapters on numerical skills and Microsoft Excel.
Long description:
Statistics for the Social Sciences using Excel offers an excellent and helpful introduction to business statistics for students who require a first course, providing all of the explanation, tools, and skills which are required in order to master the subject matter. Thorough, clear and accessible, the text guides students in a progressive, step-by-step manner through the theoretical concepts and techniques, and supports understanding by providing extensive examples from a South African
context. The text assumes no prior knowledge of the subject, and includes refresher chapters on numerical skills and Microsoft Excel.
This text is eminently suitable as a first course in statistics for students who are studying the subject as a module within any social science-based programme of study.
Table of Contents:
1. Introduction
2. Visualizing and Presenting Data
3. Data Descriptors
4. Probability Concepts
5. Random Variables
6. Discreet probability distributions
7. Continuous Probability Distributions
8. Sampling and sampling distributions
9. Estimation
10. Hypotheses Testing: One Population/Sample
11. Hypotheses Testing: Two Populations/Samples
12. Linear Correlation and Regression Analysis
13. Time Series Data and Analysis
14. Chi Square and Non-Parametric Hypothesis Testing
15. Factorial Experiments
Appendix A: Numerical Skills Revision
Appendix B: Introduction to Microsoft Excel
