Applied Statistics for Social and Management Sciences
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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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
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A.Q. Miah alternative hypothesis ANOVA average Baht binomial distribution Calculate categorical Chi-square distribution confidence interval confidence level Construct control chart control limits correlation coefficient cost ð Þ degrees of freedom example factor factorial design ffiffiffi n p following table formula frequency hypothesis is rejected hypothesis testing income independent variables l1 À l2 level of measurement level of significance Media Singapore 2016 median normal distribution null hypothesis number of defects observations population mean population parameter population proportion population variance price index probability distribution random numbers random sample random variable rank regression model rejection region relationship sample size Science+Business Media Singapore scores selected shown significance level simple random sampling Springer Science+Business Media standard deviation standard error Statistics for Social sum of squares technique test statistic total number treatment units zero