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Interpreting Hypothesis Tests

  • Abigail B. Shoben
Chapter

Learning Objectives

  1. 1.

    The t-test is used to compare mean values between two different groups.

     
  2. 2.

    The Chi-square test is used to compare proportions between two different groups.

     
  3. 3.

    The ANOVA test is used to compare mean values across multiple groups.

     
  4. 4.

    A type I error occurs when a hypothesis test declares a result to be statistically significant when in fact no true effect or association exists in the population.

     
  5. 5.

    Replication of study findings is an effective method for addressing type I errors.

     
  6. 6.

    The Bonferroni correction addresses the problem of multiple comparisons by setting a more stringent p-value threshold for statistical significance.

     
  7. 7.

    A type II error occurs when a hypothesis test declares a result to be statistically insignificant when in fact a true effect or association exists in the population.

     
  8. 8.

    Power is the pre-specified probability that a particular study will not make a type II error.

     
  9. 9.
    Power increases with
    1. (a)

      A larger sample size

       
    2. (b)

      Decreased variability of measurements within individuals

       
    3. (c)

      A greater pre-specified effect or association

       
     

Keywords

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These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Abigail B. Shoben
    • 1
  1. 1.Department of BiostatisticsUniversity of WashingtonSeattleUSA

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