Lesson 4.2.3.3.2

4.2.3.3.2 Choosing and using statistical tests Quiz: AQA Psychology, Unit 2

20 questions

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Lesson 4.2.3.3.2, Choosing and using statistical tests: 20 multiple choice questions for the AQA Psychology (7182), Unit 2: Psychology in context, written with Revision Ninja.

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The 20 questions

  1. Which test is used to analyse a correlation between two co-variables measured at ordinal level?

    • Pearson's r
    • Spearman's rho
    • Chi-squared test
    • Mann-Whitney U
  2. Which test is appropriate for a correlation between two interval-level variables with normally distributed data?

    • Pearson's r
    • Sign test
    • Wilcoxon test
    • Spearman's rho
  3. Which test is used to compare two independent groups when the data are ordinal?

    • Mann-Whitney test
    • Related t-test
    • Pearson's r
    • Wilcoxon test
  4. Which test is used for a repeated measures design with ordinal data?

    • Spearman's rho
    • Unrelated t-test
    • Mann-Whitney test
    • Wilcoxon test
  5. Which test is used to analyse frequency data in categories from independent groups?

    • Pearson's r
    • Related t-test
    • Wilcoxon test
    • Chi-squared test
  6. Which test requires interval data, a repeated measures design and normally distributed scores?

    • Sign test
    • Mann-Whitney test
    • Spearman's rho
    • Related t-test
  7. Which experimental design uses different participants in each experimental condition?

    • Repeated measures
    • Related design
    • Matched pairs
    • Unrelated design
  8. A psychologist measures hours of revision and exam score for 30 students. Both variables are interval level and normally distributed. Which test should be used?

    • Spearman's rho
    • Chi-squared test
    • Mann-Whitney test
    • Pearson's r
  9. Twenty-five students rank their happiness and their stress on the same ordinal scale. Which correlation test is most suitable?

    • Pearson's r
    • Spearman's rho
    • Wilcoxon test
    • Unrelated t-test
  10. Two independent groups each give scores on an interval scale that is normally distributed. Which test is appropriate?

    • Pearson's r
    • Unrelated t-test
    • Wilcoxon test
    • Related t-test
  11. The same 15 participants are tested before and after a training programme. Their scores are ordinal rankings. Which test is suitable?

    • Wilcoxon test
    • Pearson's r
    • Mann-Whitney test
    • Chi-squared test
  12. A researcher counts how many men and women choose each of three brands. The two groups are independent. Which test is most suitable?

    • Chi-squared test
    • Spearman's rho
    • Related t-test
    • Sign test
  13. A study compares anxiety ratings given on an ordinal scale by two independent groups of participants. Which test is appropriate?

    • Related t-test
    • Chi-squared test
    • Mann-Whitney test
    • Pearson's r
  14. Which statistical test is suitable for a related design using ordinal data?

    • Unrelated t-test
    • Wilcoxon test
    • Chi-squared test
    • Mann-Whitney test
  15. A psychologist has interval data from a repeated measures design, but the scores are clearly not normally distributed. Which test is most appropriate?

    • Unrelated t-test
    • Pearson's r
    • Related t-test
    • Wilcoxon test
  16. Which level of measurement is required to conduct a Chi-squared test?

    • Nominal data
    • Ratio data
    • Ordinal data
    • Interval data
  17. Why can ordinal data NOT be treated as interval data in statistical testing?

    • Categorical scale
    • Normal distribution
    • Equal variance
    • Unequal intervals
  18. Which statistical test is used for a related design with parametric interval data?

    • Wilcoxon test
    • Mann-Whitney test
    • Unrelated t-test
    • Related t-test
  19. Besides experimental design and hypothesis type, what determines the choice of statistical test?

    • Standard deviation
    • Sampling method
    • Sample size
    • Level of measurement
  20. What is the main risk of using a parametric test on heavily skewed interval data?

    • Sampling bias
    • Type II error
    • Demand characteristics
    • Invalid conclusions

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