What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results? Herschel Knapp’s friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. Students will learn by doing with this truly practical approach to statistics. Free downloadable tutorial videos provide an overview of each statistical method!

Descriptive Statistics

Whenever you can, count.

—Sir Francis Galton

Learning Objectives

Upon completing this chapter, you will be able to do the following:

  • Comprehend the meaning of each descriptive statistic: number (n), mean (M), median, mode, standard deviation (SD), variance, minimum, maximum, and range.
  • Understand central tendency.
  • Load an SPSS data file.
  • Order and interpret descriptive statistics for continuous variables: Frequency Statistics table, histogram with normal curve, and skewed distribution.
  • Order and interpret descriptive statistics for categorical variables: Frequency Statistics table, bar chart, and pie chart.
  • Select records to process/rule out.
  • Select all records to process.

When to Use This Statistic

Guidelines for Selecting Descriptive Statistics

Overview: These statistics summarizes the numbers contained within a variable.

Variables: These statistics processes any (continuous or categorical) individual variable.

Results: We surveyed 27 women and 23 men between 18 and 31 ...

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