• 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

Comparing Means: One or Two Samples t-Tests
Comparing means: One or two samples t-tests

t-tests and z-tests are commonly used when making comparisons between the means of two samples or between some standard value and the mean of one sample. There are different varieties of t-tests which are used in different conditions depending on the design of the experiment or the nature of the data. These are explained in detail in the following sections.

Basic Concepts
t-Test and z-Test

t-tests are similar to commonly encountered z-tests in many ways. Both z- and t-tests have the same rationale but use different assumptions, which require a careful selection depending on the requirements. For z-tests, the population mean and population standard deviation should be known exactly. In many real life problems, while ...

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