• Summary
  • Contents
  • Subject index

Bridging an understanding of Statistics and SPSS.

“The text is written in a user-friendly language and illustrates concepts that would otherwise be confusing to beginning students and those with limited computer skills.”

-Justice Mbizo, University of West Florida

This unique text helps students develop a conceptual understanding of a variety of statistical tests by linking the ideas learned in a statistics class from a traditional statistics textbook with the computational steps and output from SPSS. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, clearly linking how the SPSS procedure and output connect back to the conceptual underpinnings of ...

One- and Two-Sample t-Tests
One- and two-sample t-tests
Conceptual Background of the t-Test

Earlier, we discussed the distinction between categorical and continuous variables, and we showed how chi-squared tests and correlation can be used to examine the relationship between two categorical and continuous variables, respectively. But what if you have one continuous and one categorical variable? The next several chapters—on t-tests and ANOVA—deal with this case.

The t-test is a simple and elegant way to examine the difference between two groups, defined by ...

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