Data test: Parametric vs Non-Parametric tests

What does a p-value indicate in statistical tests?

• Probability of the data given the hypothesis is true
• Probability of the hypothesis given the data is true
• Probability of Type 1 error
• Probability of Type 2 error

If the p-value is less than 0.05, what is the result of the hypothesis test?

• Not statistically significant
• Statistically significant

Which test would you use for data that follows a normal distribution?

• Mann-Whitney U test
• Wilcoxon signed-rank test
• t-test

For non-normal data distributions, which is a suitable statistical test?

• t-test
• Mann-Whitney U test
• ANOVA

Which test compares two related samples, matched samples, or repeated measurements on a single sample to assess whether their population mean ranks differ?

• ANOVA
• t-test
• Wilcoxon signed-rank test

A Type 1 error is also known as:

• False positive
• False negative
• True positive
• True negative

A Type 2 error is also known as:

• False positive
• False negative
• True positive
• True negative

In a study comparing two medications, the p-value was found to be 0.04. How would you interpret this finding?

Explain the circumstances under which a Mann-Whitney U test is applied.

What is the null hypothesis in a t-test comparing two means?

• The means are different
• The means are the same
• The variance is different
• The samples are not related