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One-Sample Means

In: Statistical Research Methods

Author

Listed:
  • Roy Sabo

    (Virginia Commonwealth University, Department of Biostatistics)

  • Edward Boone

    (Virginia Commonwealth University, Department of Statistical Sciences and OR)

Abstract

In Chapter 5 we were introduced to continuous data, and in this Chapter we take our first steps into the realm of inference by focusing on hypothesis testing and estimating confidence intervals for one-sample continuous data. In many ways, the material we introduce here will resemble the material covered in Chapter 2, where we focused on the case of a one-sample proportion. While the specific details will clearly be different, most of the steps we take will be the same in both cases. For instance, in both cases we will summarize our data, generate hypotheses, evaluate the veracity of our assumptions, perform the statistical test, and make inference from the output of that test. Most importantly, since we are only dealing with one sample, we must again pay close attention to the hypothesized value upon which we base our test. Before we get to such a test, we must examine the behavior of the sample mean, much as we did for the sample proportion in Chapter 2.

Suggested Citation

  • Roy Sabo & Edward Boone, 2013. "One-Sample Means," Springer Books, in: Statistical Research Methods, edition 127, chapter 0, pages 101-120, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4614-8708-1_6
    DOI: 10.1007/978-1-4614-8708-1_6
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