Inferential Statistical Test

    Cards (13)

    • What are the three factors to consider when choosing an inferential statistical test?
      The design of the study, the level of data, and whether a difference or correlation is being measured
    • What does it mean if a study involves an unrelated design?
      It means the study uses an independent groups design
    • What types of data can be collected during a study?
      Ordinal, nominal, or interval data
    • What is the difference between measuring a difference and measuring a correlation?
      Measuring a difference compares groups, while measuring a correlation examines relationships between variables
    • What statistical tests are used for different types of data?
      • Nominal:
      • Test of difference: Chi-square
      • Test of association: Chi-square
      • Ordinal:
      • Test of difference: Mann-whitney
      • Test of association: Spearman's Rho
      • Interval:
      • Test of difference: Unrelated t-test
      • Test of association: Pearson's R
    • Why is it important to remember the table of statistical tests?
      It helps answer exam questions about appropriate statistical tests for research studies
    • What is the purpose of statistical tests?
      To determine whether a significant difference or correlation exists
    • What are the two values compared in a statistical test?
      The calculated value and the critical value
    • How is the critical value determined?
      It is worked out from a table of probability values based on various factors
    • What factors influence the calculation of the critical value?
      Whether it is a one or two-tailed test, the P value, and either the N value or degrees of freedom
    • What does the Rule of R state about statistical tests with an R in their name?
      The calculated value must be greater than or equal to the critical value for the result to be significant
    • What happens if the calculated value meets the Rule of R?
      The null hypothesis can be rejected and the alternative hypothesis is supported
    • What is required for statistical tests without an R in their name to be significant?
      The calculated value must be less than or equal to the critical value
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