CNSL503 / CNSL 503 Module 8:
(Latest Update )
Statistics | Questions and Answers |
Grade A | 100% Correct - Portage
Learning
Question:
______ tables are used to display frequency distributions for one nominal
variable, whereas ________ tables are used to display frequency distributions
for two nominal variables.
Answer:
frequency; contingency
Question:
The total frequencies for each column and row in a contingency table are
known as ______.
Answer:
Marginal values
, Question:
The ________ is used to measure effect size in studies with 2 x 2 tables,
whereas _______ is used to measure effect size for contingency tables greater
than 2 x 2.
Answer:
ϕ coefficient; Cramer's V
Question:
True or False: A ϕ coefficient of 0.62 indicates a moderate relationship
between two variables.
Answer:
False; based on effect size conventions, this would be considered a strong
relationship.
Question:
Define the Goodness of Fit Test
Answer:
Goodness of fit test measures the statistical significance of the difference
between observed and expected frequencies when there is one categorical
variable.
(Latest Update )
Statistics | Questions and Answers |
Grade A | 100% Correct - Portage
Learning
Question:
______ tables are used to display frequency distributions for one nominal
variable, whereas ________ tables are used to display frequency distributions
for two nominal variables.
Answer:
frequency; contingency
Question:
The total frequencies for each column and row in a contingency table are
known as ______.
Answer:
Marginal values
, Question:
The ________ is used to measure effect size in studies with 2 x 2 tables,
whereas _______ is used to measure effect size for contingency tables greater
than 2 x 2.
Answer:
ϕ coefficient; Cramer's V
Question:
True or False: A ϕ coefficient of 0.62 indicates a moderate relationship
between two variables.
Answer:
False; based on effect size conventions, this would be considered a strong
relationship.
Question:
Define the Goodness of Fit Test
Answer:
Goodness of fit test measures the statistical significance of the difference
between observed and expected frequencies when there is one categorical
variable.
