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Applied Statistics for Social and Management Sciences / by Abdul Quader Miah.

Springer Nature - Springer Mathematics and Statistics eBooks 2016 English International Available online

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Format:
Book
Author/Creator:
Miẏā, Moḥ. Ābadula Kādera, Author.
Language:
English
Subjects (All):
Social sciences--Statistical methods.
Social sciences.
Statistics.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Statistics in Business, Management, Economics, Finance, Insurance.
Statistical Theory and Methods.
Local Subjects:
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Statistics in Business, Management, Economics, Finance, Insurance.
Statistical Theory and Methods.
Physical Description:
1 online resource (XV, 444 p. 73 illus. in color.)
Edition:
1st ed. 2016.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2016.
Language Note:
English
Summary:
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. .
Contents:
1: Basics
2: Presentation of Statistical Data
3: Descriptive Statistics
4: Probability Theory
5: Probability Distributions
6: Statistical Inference
7: Hypothesis Testing
8: The Chi-Square Test
9: Non-Parametric Test
10: Correlation
11: Simple Regression
12: Multiple Regression
13: Sampling Theory
14: Determination of Sample Size
15: Index Numbers
16: Analysis of Financial Data
17: Experimental Design
18: Statistical Quality Control
19: Summary for Hypothesis Testing.
Notes:
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references and index.
ISBN:
981-10-0401-3

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