𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Applied Statistics for Social and Management Sciences

✍ Scribed by Abdul Quader Miah (auth.)


Publisher
Springer Singapore
Year
2016
Tongue
English
Leaves
447
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


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.

✦ Table of Contents


Front Matter....Pages i-xv
Basics....Pages 1-10
Presentation of Statistical Data....Pages 11-27
Descriptive Statistics....Pages 29-58
Probability Theory....Pages 59-68
Probability Distributions....Pages 69-99
Statistical Inference....Pages 101-125
Hypothesis Testing....Pages 127-170
The Chi-Square Test....Pages 171-181
Nonparametric Test....Pages 183-201
Correlation....Pages 203-214
Simple Regression....Pages 215-231
Multiple Regression....Pages 233-244
Sampling Theory....Pages 245-256
Determination of Sample Size....Pages 257-275
Index Numbers....Pages 277-302
Analysis of Financial Data....Pages 303-324
Experimental Design....Pages 325-351
Statistical Quality Control....Pages 353-384
Summary for Hypothesis Testing....Pages 385-391
Back Matter....Pages 393-444

✦ Subjects


Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law;Statistics for Business/Economics/Mathematical Finance/Insurance;Statistical Theory and Methods


πŸ“œ SIMILAR VOLUMES


Applied statistics for social and manage
✍ Miẏā, MoαΈ₯. Δ€badula Kādera πŸ“‚ Library πŸ“… 2016 πŸ› Springer 🌐 English

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 resul

Applied Statistics for Social and Manage
✍ Miah A.Q. πŸ“‚ Library 🌐 English

Springer, 2016. β€” 446 p. β€” ISBN: 9811003998, 9789811003998<div class="bb-sep"></div>Presents the application of statistical techniques in an easy-to-understand format<br/>Makes statistical concepts clear through the use of everyday examples<br/>Provides a useful tool for research work in validating

Applied Statistics for the Social and He
✍ Rachel A. Gordon πŸ“‚ Library πŸ“… 2012 πŸ› Routledge 🌐 English

<P><EM>Applied Statistics for the Social and Health Sciences</EM> provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health sci

Applied Statistics for the Social and He
✍ Rachel A. Gordon πŸ“‚ Library πŸ“… 2012 πŸ› Routledge 🌐 English

<P><EM>Applied Statistics for the Social and Health Sciences</EM> provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health sci

Introduction to Applied Bayesian Statist
✍ Scott M. Lynch πŸ“‚ Library πŸ“… 2007 πŸ› Springer 🌐 English

Dr. Scott Lynch has made a great job for those (like me) who want a clear introduction to the methods of bayesian data analysis. I hold a Ph.D. in plant breeding, and as many others, I was trained in the traditional frequentist approach for the analysis of experiments: linear regression, ANOVA and u