1. Which of the following statements best describes

nonparametric inferential statistics?

a) It is a statistical method used for analyzing quantitative

data only.

b) It is a statistical technique that requires assumptions

about the population distribution.

c) It is a statistical approach for analyzing data when

assumptions about the population are not met.

d) It is a method used to estimate population parameters

based on sample statistics.

Answer: c) It is a statistical approach for analyzing data

when assumptions about the population are not met.

Rationale: Nonparametric inferential statistics is

specifically designed to deal with situations where

assumptions about the population distribution are not met,

making it relevant in situations where traditional

parametric approaches fail.

2. The Mann-Whitney U test is commonly used to compare

two independent groups. Which of the following statements

is true regarding this test?

a) It requires equal variances in both groups.

b) It assumes normally distributed data.

c) It ranks the data and uses the sum of ranks to test for

differences between groups.