38.
What does ANOVA stand for?
A.
Analysis of values and averages.
B.
Analysis of variance.
C.
Analysis of variability.
D.
Analysis of non ordinal values.
39.
What kind of variables would you crosstabulate?
A.
Two or more categorical.
B.
Two or more continuous.
C.
One continuous and two or more categorical.
D.
One categorical and two or more continuous.
40.
Which statistical test is used to identify whether there is a relationship between two
categorical variables?
A.
Student’s t-test.
B.
Spearman’s correlation test.
C.
Pearson’s Chi-square test.
D.
Mann-Whitney test.
41.
What does the statistic Cramer’s V indicate?
A.
The significance of the Chi-square test.
B.
The expected frequencies in a contingency table.
C.
The amount of common variability of two numeric variables.
D.
The strength of association between two categorical variables..
42.
What is the null hypothesis for a Chi-square test?
A.
Both variables have a significant relationship.
B.
Both variables have equal means.
C.
Both variables are independent.
D.
Both variables are dependent.
43.
In order for accurate measures of the linear relationship between two variables to be
achieved, what type of data are required if using Pearson’s correlation coefficient?
A.
Nominal
B.
Ordinal
C.
Interval
D.
Ratio
44.
A Pearson correlation of r=-0.6 indicates
A.
An increase in X is accompanied by an increase in Y; the relationship is strong.
B.
An increase in X is accompanied by an increase in Y; the relationship is moderate.
C.
An increase in X is accompanied by a decrease in Y; the relationship is strong.
D.
An increase in X is accompanied by a decrease in Y; the relationship is moderate.