Section outline

  • This class covers hypothesis testing, the second of two general areas of statistical inference. Interval estimation and hypothesis testing are based on similar concepts. This session provides a format for conducting a hypothesis test.

    Learning objectives for this session:

    After completing this class the student will:

    • understand how to correctly state a null and alternative hypothesis
    • understand the concepts of type I error, type II error and the power of a test
    • be able to calculate and interpret z and t test statistics for making statistical inferences
    • understand the meaning of a significance level and a p-value
    • be able to conduct hypothesis test for a single mean
    • be able to compute hypothesis test for a single mean using Stata

    Lecture Topics:

    • Steps of hypothesis testing
    • Significance level, Type I, Type II error and statistical power
    • Hypothesis testing for one sample

    Readings:

    • Chapter 7: Bernard Rosner. Fundamentals of Biostatistics. 7th edition 2010. Boston: Brooks/Cole, Cengage Learning

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