Parametric assumptions and tests

1. 1To be considered parametric scale data needs to have a normal distribution

   1. ATrue
   2. BFalse
2. 2A normal distribution can be measured by: (2)

   1. Aa bell shaped curve being produced
   2. Bskew and kurtosis using the 2 x SE rule
   3. Cthe Levene test
   4. Dstandard deviation
3. 3Equal variances can be established by:

   1. Askew and kurtosis using the 2 x SE rule
   2. BLevene test
   3. Cstandard deviation
4. 4Smaller standard error =

   1. Amore representative of the population
   2. Bless representative of the population
5. 5Which of the following statements are true? (2)

   1. ASmaller the SD the more a score is representative of a sample
   2. BSmaller the SE the more a sample is representative of a population
   3. CSmaller the SD the more a sample is representative of a population
   4. DSmaller the SE the more a score is representative of a sample
6. 6When reporting the findings for a paired t-test or an independent t-test you must include: (2)

   1. ADescriptives: mean, SD
   2. BDescriptives: mean, SD, interquartile range
   3. CInferential: test result, df, p
   4. DInferential: test result, df, p, direction of test
7. 7Which of these SPSS outputs would be used if data was scale and a between design was used?

   1. AAnalyse - Compare means - Independent samples t-test
   2. BAnalyse - Compare means - Paired samples t-tests
   3. CAnalyse - Non-parametric - Legacy dialogs - 2 independent samples - Mann-Whitney
8. 8Which of these SPSS outputs would be used if the data was nominal and a within design was used?

   1. AData - Weight cases
      Analyse - Descriptive stats. - Crosstabs - Stats. - Chi square
   2. BData - Weight cases
      Analyse - Non parametric tests - Legacy dialogs - 2 related samples - McNemar
   3. CAnalyse - Non parametric test - Legacy dialogs - 2 independent samples - Wilcoxon
9. 9If the data was correlational, scale and a within design was used, which test would be used?

   1. APearson product - moment
   2. BSpearman rank-order
   3. CWilcoxon
   4. DMcNemar
10. 10When analysing correlational data; the higher the coefficient the more confidence we can have that one variable is caused by another.

    1. ATrue
    2. BFalse

11. 11It is possible for a weak correlation to be significant and for a strong correlation to be non-significant.

    1. ATrue
    2. BFalse
12. 12When analysing correlational data; strength is a guarantee of significance

    1. ATrue
    2. BFalse

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Quiz on Parametric assumptions and tests, created by Charley Cole on 01/05/2016.

Author

Charley Cole

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