Statistics for the Social Sciences , Using Excel
Author:   Davis ,  Pecar ,  Santana ,  Burke
Publisher:   Oxford University Press Southern Africa
ISBN:  

9780199051830


Pages:   544
Publication Date:   14 August 2014
Format:   Paperback
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

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Statistics for the Social Sciences , Using Excel


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Overview

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.

Full Product Details

Author:   Davis ,  Pecar ,  Santana ,  Burke
Publisher:   Oxford University Press Southern Africa
Imprint:   Oxford University Press Southern Africa
ISBN:  

9780199051830


ISBN 10:   0199051836
Pages:   544
Publication Date:   14 August 2014
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

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

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