Applied Statistics for Social and Management Sciences

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Springer, Feb 29, 2016 - Social Science - 444 pages
This book addresses the application of statistical techniques and methods across a wide range of disciplines. While its main focus is on the application of statistical methods, theoretical aspects are also provided as fundamental background information. It offers a systematic interpretation of results often discovered in general descriptions of methods and techniques such as linear and non-linear regression. SPSS is also used in all the application aspects. The presentation of data in the form of tables and graphs throughout the book not only guides users, but also explains the statistical application and assists readers in interpreting important features. The analysis of statistical data is presented consistently throughout the text. Academic researchers, practitioners and other users who work with statistical data will benefit from reading Applied Statistics for Social and Management Sciences.
 

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Contents

1 Basics
1
2 Presentation of Statistical Data
11
3 Descriptive Statistics
29
4 Probability Theory
59
5 Probability Distributions
69
6 Statistical Inference
100
7 Hypothesis Testing
127
8 The ChiSquare Test
171
12 Multiple Regression
232
13 Sampling Theory
245
14 Determination of Sample Size
257
15 Index Numbers
277
16 Analysis of Financial Data
303
17 Experimental Design
325
18 Statistical Quality Control
352
19 Summary for Hypothesis Testing
385

9 Nonparametric Test
182
10 Correlation
203
11 Simple Regression
215
Statistical Tables
393
Index
438
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