Assumptions To Evaluate For Statistical Tests

12 Questions | Total Attempts: 44

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Assumptions To Evaluate For Statistical Tests

Advanced parametric statistical tests and their necessary assumptions. (Should all be correct but I am not a statistician)


Questions and Answers
  • 1. 
    Matched/Paired Samples T-test:
    • A. 

      Normality

    • B. 

      Sphericity

    • C. 

      Homogeneity of Variance

    • D. 

      Independence of Observations Within Groups

    • E. 

      Independence Observations Between Groups

  • 2. 
    Mixed ANOVA:
    • A. 

      Homogeneity of Variance

    • B. 

      Normality

    • C. 

      Homoscedasticity

    • D. 

      Independence of Observations Between and Within

    • E. 

      Sphericity

  • 3. 
    Chi Square Test of Association:
    • A. 

      Inclusion of Nonoccurances

    • B. 

      Sphericity

    • C. 

      Homoscedasticity

    • D. 

      Normality

    • E. 

      Independence of Observations Between and Within

  • 4. 
    Independent Samples T-Test:
    • A. 

      Multicollinearity

    • B. 

      Independence of Observations Between

    • C. 

      Homogeneity of Variance

    • D. 

      Independence of Observations Within

    • E. 

      Normality

  • 5. 
    Factorial ANOVA: 
    • A. 

      Independence of Observations Between and Within

    • B. 

      Sphericity

    • C. 

      Homogeneity of Variance

    • D. 

      Normality

    • E. 

      Linearity

  • 6. 
    One-way Repeated Measures ANOVA:
    • A. 

      Sphericity

    • B. 

      Independence of Observations Between

    • C. 

      Normality

    • D. 

      Independence of Observations Within

    • E. 

      Homogeneity of Variance

  • 7. 
    One-way Between Groups ANOVA:
    • A. 

      Normality

    • B. 

      Homoscedasticity

    • C. 

      Sphericity

    • D. 

      Homogeneity of Variance

    • E. 

      Independence of Observations Between and Within

  • 8. 
    Bivariate Correlation:
    • A. 

      Linearity

    • B. 

      Homoscedasticity

    • C. 

      Sphericity

    • D. 

      Normality

    • E. 

      Independence of Observations Within

  • 9. 
    Multiple/Hierarchical Regression:
    • A. 

      Homoscedasticity

    • B. 

      Linearity

    • C. 

      Normality in Arrays

    • D. 

      Independence of Observations

    • E. 

      Multicollinearity

  • 10. 
    MANOVA:
    • A. 

      Normality

    • B. 

      Homogeneity of Variance

    • C. 

      Linearity

    • D. 

      Independence of Observations

    • E. 

      Homoscedasticity

  • 11. 
    Bivariate Regression
    • A. 

      Independence of Observations

    • B. 

      Linearity

    • C. 

      Normality in Arrays

    • D. 

      Homogeneity of Variance

    • E. 

      Homoscedasticity

  • 12. 
    One Sample T-test
    • A. 

      Independence of Observations Within

    • B. 

      Linearity

    • C. 

      Normality

    • D. 

      Independence of Observations Between

    • E. 

      Homogeneity of Variance

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