.png){kind=logo}
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.
.png)