CNSL503 / CNSL 503 Module 8 Statistics
2026/2027 | Portage Learning | Verified Questions
& Answers | 100% Correct | Grade A
What is the main difference between parametric and nonparametric tests?
Parametric tests make assumptions based on normal distributions, whereas nonparametric tests
make no assumptions about the population parameters being used.
True or False: Nominal variables are described using measures of central tendency, such as the
mean or median.
False; Nominal variables are described by the frequency in each category of a variable.
If the categorization of a nominal variable were based on random chance, what would the
frequency distribution look like for that variable?
The frequencies of all levels of the variable would be equal.
The ________ test is used when analyzing one nominal variable, whereas the _______ test is
used when analyzing the relationship between two nominal variables.
goodness of fit; test for independence
True or False: The steps for hypothesis testing with chi-square tests are different than those for
parametric tests.
False; The same four steps are used in hypothesis testing with chi-square tests.
, https://www.stuvia.com/user/quizbit07
A study investigating cell phone brand preference recruits 500 participants and asks each
participant for their preference of 4 choices of cell phones. What would the expected frequency
be for each category? What is the df?
125 (500/4 =125); df = 3
The null hypothesis for a goodness of fit test states what?
All frequencies of a particular variable are equal.
The null hypothesis for a test for independence states what?
The two variables are independent of one another.
Which of the following is NOT one of the assumptions made in a chi-square test?
The expected frequency for each category must be at least 5.
2 multiple choice options
In a goodness of fit test, if the null hypothesis is not rejected, then differences between the
observed and expected frequencies are most likely due to ________.
Sampling Error