Biostatistics Study NotesFrom concepts and derivations to interpretation

CHAPTER 04

Z Tests and t Tests

Z Tests and t Tests

LEARNING PATH

Topics in this chapter

Read by topic; each article preserves the complete explanations, formulas, and tables from the original notes.

6 topic articles
  1. 01

    Z Tests

    Develop one- and two-sample Z tests, confidence intervals, Type I and II errors, power, and sample-size calculations from the same standardized framework.

    47 content blocks
  2. 02

    t-Test Concepts

    Understand why estimating an unknown population standard deviation leads to the t distribution and the shared structure of three t tests.

    23 content blocks
  3. 03

    One-Sample t Test

    Compare one population mean with a specified value using hypotheses, the t statistic, degrees of freedom, and a complete testing procedure.

    11 content blocks
  4. 04

    Paired t Test

    Convert paired observations into within-pair differences and test the population mean of those differences.

    16 content blocks
  5. 05

    Independent Two-Sample t Test

    Compare two independent means with Welch or pooled t tests and understand their variance assumptions and degrees of freedom.

    17 content blocks
  6. 06

    Inference for Population Variances

    Use a chi-square test for one population variance and an F test for two variances, with links to pooled and Welch t tests.

    18 content blocks