• Summary
  • Contents

This book is designed to help the managers and researchers in solving statistical problems using SPSS and to help them understand how they can use various statistical tools for their own research problems. SPSS is a very powerful and user friendly computer package for data analyses. It can take data from most other file-types and generate tables, charts, plots, and descriptive statistics, and conduct complex statistical analyses. This book will help students, business managers, academics as well as practicing researchers to solve statistical problems using the latest version of SPSS (16.0). After providing a brief overview of SPSS and basic statistical concepts, the book covers: Descriptive statistics t-tests, chi-square tests, and ANOVACorrelation analysisMultiple and logistics regressionFactor analysis and testing scale reliabilityAdvanced data handling

Chi-Square Test of Independence for Discrete Data
Chi-square test of independence for discrete data

Chi-square (χ2) is one of the very popular methods for testing hypotheses on discrete data. As explained in Chapter 1, on basic statistical concepts, discrete data can be nominal or ordinal. Finding descriptive statistics for such data is meaningless. The only summary statistics useful for such data are frequencies and percentages. Contingency tables along with some chi-square statistics are used on such kind of data. Given below are some examples of business and social sciences related studies where the chi-square test of independence can be used along with contingency tables to get a meaningful insight into the problem:

  • An international business researcher wants to establish if the performance (categorized as loss, breakeven and ...
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