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6. A Mann–Whitney test gives the following result:<br />

U = 9, p = 0.1726 (2-tailed probability)<br />

CHAPTER 16 Non-parametric statistics 561<br />

The researcher, however, made a prediction of the direction of the difference, and therefore needs to<br />

know the one-tailed probability. This is:<br />

(a) 0.0863<br />

(b) 0.863<br />

(c) 0.1726<br />

(d) Indeterminate<br />

7. If, in a repeated-measures design with two conditions, you have a small number of participants, with<br />

skewed, ordinal data, the most appropriate inferential test is:<br />

(a) Unrelated t-test<br />

(b) Related t-test<br />

(c) Mann–Whitney U test<br />

(d) Wilcoxon<br />

8. If a Wilcoxon test shows that t = 3 with an associated probability of 0.02, this means:<br />

(a) Assuming the null hypothesis to be true, a t-value of 3 would occur 2% of the time through<br />

sampling variation<br />

(b) We are 98% certain that our results are statistically signifi cant<br />

(c) Given our data, we expect to fi nd a t-value of 3 occurring 2% of the time through chance<br />

(d) If the null hypothesis is not true, then a t-value of 3 would occur 2% of the time through sampling<br />

variation<br />

9. A t-value of 3 has been converted into a z-score of -3.2. This means:<br />

(a) The calculations are incorrect<br />

(b) There is not likely to be a statistically signifi cant difference between conditions<br />

(c) There is likely to be a statistically signifi cant difference between conditions<br />

(d) The results are indeterminate<br />

Questions 10 to 12 relate to the following output:

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