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MSW Statistics Essentials Quiz

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Test your stats intuition

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MSW Statistics Essentials Quiz
 

MSW Statistics Essentials QuizOnline version

Test your stats intuition

by Reem Shawkat
1

Is the Mann–Whitney U test used when comparing means of two normally distributed groups?

2

Can you report effect size even if results are not significant?

3

Is power the chance of avoiding a Type I error?

4

Should you always transform non-normal data?

5

Is a one-tailed test stronger than a two-tailed test?

6

Does a histogram always prove that data are normally distributed?

7

Is skewness of +1.8 considered within normal limits?

8

Does increasing sample size increase statistical power?

9

Is the null hypothesis always that there is “no difference”?

10

Should you use a parametric test if your dependent variable is ordinal?

11

Do formal normality tests always give the same result as visual inspection?

12

Can you have skewed data even if the mean and median are close?

13

Does a p-value tell you the size of an effect?

14

Is the Shapiro–Wilk test more accurate for small samples?

15

Is kurtosis about how tall a distribution is?

16

Do you always need to check assumptions before choosing a test?

17

Is the Q–Q plot a good way to check for skew and heavy tails?

18

Do SPSS “Explore” outputs include normality tests?

19

Can a result be statistically significant but not meaningful in practice?

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