Section outline

  • This class covers techniques that are useful when the underlying assumptions of traditional hypothesis
    tests are violated or one wishes to perform a test without making assumptions about the sampled
    population.
    Learning objectives for this session
    After completing this class the student will:

    • understand the rank transformation and how nonparametric procedures can be used
    • be able to discuss and interpret a wide variety of nonparametric tests commonly used in practice
    • understand which nonparametric tests may be used in place of traditional parametric statistical
    • tests
    • understand the general advantages and disadvantages of nonparametric methods.
    • be able to compute nonparametric tests using Stata

    Lecture Topics
    - Testing normality
    - Data transformation
    - Sign Test
    - Wilcoxon Signed-Rank Test
    - Wilcoxon Rank-Sum Test
    Readings:
    • Chapter 9: Bernard Rosner. Fundamentals of Biostatistics. 7th edition 2010. Boston: Brooks/Cole,
    Cengage Learning

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