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8: Introduction to t-Tests

  • Page ID
    42040
    • Linda R. Cote, Rupa G. Gordon, Chrislyn E. Randell, Judy Schmitt, and Helena Marvin
    • University of Missouri System

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    • 8.1: Hypothesis Testing with t-Tests
      This page discusses Chapter 7, which transitions from descriptive statistics to hypothesis testing, focusing on the t-test and confidence intervals. It introduces the t-statistic, compares t and z distributions, and highlights the role of degrees of freedom. The chapter details the hypothesis testing process using a one-sample t-test, illustrated with oil change wait times. It shows calculations for mean, standard deviation, and a t-statistic of 3.
    • 8.2: Confidence Intervals
      This page explains the construction of a 95% confidence interval for community friendliness based on a sample. The calculated interval (37.76, 41.94) includes the national average of 38, leading to a failure to reject the null hypothesis. It highlights the relationship between hypothesis testing and confidence intervals through shared methodologies with standard errors and critical values.


    This page titled 8: Introduction to t-Tests is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Linda R. Cote, Rupa G. Gordon, Chrislyn E. Randell, Judy Schmitt, and Helena Marvin via source content that was edited to the style and standards of the LibreTexts platform.