Statistics for social sciences

By:

Rajaretnam, T

Material type: Text

TextPublication details: Sage Publications India Pvt. Ltd. New Delhi 2016Description: xvi, 289 pISBN:

9789351506553

Subject(s):

DDC classification:

519.5 RAJ

Summary: A comprehensive guide to the practical applications of statistics in social sciences This book brings out the relevance of statistical tools and methods in social sciences. Describing the various statistical techniques, it highlights their purpose and application along with a brief overview on how to interpret results and draw inferences. Topical and up-to-date, it examines: • different types of statistical variables and their treatment • tabulation and graphical presentation of data • theoretical distributions and common parametric and non-parametric tests, including analysis of variance and correlation ratio • linear regression including checking for violation of assumptions, transformations of variables and predictions • inequality measures such as Lorenz curve, Gini coefficient, dissimilarity index and human development index among others. It will be indispensable for students and scholars of statistics, econometrics, psychology and those interested in the application of statistics in social sciences.

List(s) this item appears in: Public Policy & General Management

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Public Policy & General Management	519.5 RAJ (Browse shelf(Opens below))	1	Available		002112

A comprehensive guide to the practical applications of statistics in social sciences

This book brings out the relevance of statistical tools and methods in social sciences. Describing the various statistical techniques, it highlights their purpose and application along with a brief overview on how to interpret results and draw inferences.

Topical and up-to-date, it examines:

• different types of statistical variables and their treatment
• tabulation and graphical presentation of data
• theoretical distributions and common parametric and non-parametric tests, including analysis of variance and correlation ratio
• linear regression including checking for violation of assumptions, transformations of variables and predictions
• inequality measures such as Lorenz curve, Gini coefficient, dissimilarity index and human development index among others.

It will be indispensable for students and scholars of statistics, econometrics, psychology and those interested in the application of statistics in social sciences.

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