The Second Edition of Interpreting Quantitative Data with IBM SPSS Statistics is an invaluable resource for students analyzing qualitative data with IBM SPSS Statistics for the first time. The book clearly sets out a range of statistical techniques and their common applications, explaining their logic and links to the research process. It also shows how IBM SPSS Statistics can be used as a tool to aid analysis. Key Features of the Second Edition: • New chapters on ANOVA Factor Analysis and General Multilinear Model • IBM SPSS Statistics lab sessions following each chapter which demonstrate how IBM SPSS Statistics can be used in practice • Sets of exercises and ‘real-life’ examples to aid teaching and learning • Lists of key terms and further reading to enhance students' understanding • An improved text design making the book easier to navigate

Normal Distributions and Sampling Distributions

The purpose of this chapter is to explain the properties of normal distributions, and to show how the percentage of data falling between any two values can be computed. Mastering the numerical properties of the normal distribution is crucial to understanding the whole process of inference in statistics. On the basis of this knowledge, you will be able to understand the basic properties of sampling distributions.

After studying this chapter, you should know:

  • what normal distributions are and when they mostly occur;
  • the three properties that characterize them;
  • how to read the table of areas under a normal curve;
  • how to convert x-values into z-values and vice versa;
  • how to compute the percentage of data between any two values in a normal distribution;
  • the properties of ...
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