MSW Statistics Essentials Quiz

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Test your stats intuition

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Reem Shawkat

United States

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MSW Statistics Essentials Quiz


MSW Statistics Essentials QuizVersion en ligne Test your stats intuition par Reem Shawkat 1 Is the Mann–Whitney U test used when comparing means of two normally distributed groups? Yes No 2 Can you report effect size even if results are not significant? Yes No 3 Is power the chance of avoiding a Type I error? Yes No 4 Should you always transform non-normal data? Yes No 5 Is a one-tailed test stronger than a two-tailed test? Yes No 6 Does a histogram always prove that data are normally distributed? Yes No 7 Is skewness of +1.8 considered within normal limits? Yes No 8 Does increasing sample size increase statistical power? Yes No 9 Is the null hypothesis always that there is “no difference”? Yes No 10 Should you use a parametric test if your dependent variable is ordinal? Yes No 11 Do formal normality tests always give the same result as visual inspection? Yes No 12 Can you have skewed data even if the mean and median are close? Yes No 13 Does a p-value tell you the size of an effect? Yes No 14 Is the Shapiro–Wilk test more accurate for small samples? Yes No 15 Is kurtosis about how tall a distribution is? Yes No 16 Do you always need to check assumptions before choosing a test? Yes No 17 Is the Q–Q plot a good way to check for skew and heavy tails? Yes No 18 Do SPSS “Explore” outputs include normality tests? Yes No 19 Can a result be statistically significant but not meaningful in practice? Yes No

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MSW Statistics Essentials Quiz

Oui ou Non

À propos de cette activité

Créé par

Téléchargez la version pour jouer sur papier

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MSW Statistics Essentials QuizVersion en ligne

par Reem Shawkat

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

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

Is power the chance of avoiding a Type I error?

Should you always transform non-normal data?

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

Does a histogram always prove that data are normally distributed?

Is skewness of +1.8 considered within normal limits?

Does increasing sample size increase statistical power?

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

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

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

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

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

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

Is kurtosis about how tall a distribution is?

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

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

Do SPSS “Explore” outputs include normality tests?

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