Question
DATA205 Introductory Analytics (QC)
Quiz 5 Chapter 11-12, 14
Question 1 A researcher can demonstrate a strong association
between gender and income. Which variable is independent?
Answers:
a. Both
b. Income
c. Neither
d. Gender
Question 2A researcher finds that males are much more
supportive of cohabitation than females. The phi is 0.25.This is a
__________ relationship.
Answers:
a. strong
b. negative
c. positive
d. moderate
Question 3For a 3 x 3 table, the appropriate chi square based
measure of association would be
Answers:
a. both.
b. Cramer’s V.
c. phi.
d. neither.
Question 4If variables are arranged in a bivariate table, we
can see if they are associated by
Answers:
a. computing percentages in the direction of the dependent
variable.
b. computing percentages in the direction of the
independent variable.
c. adding their scores vertically.
d. subtracting their scores horizontally.
Question
5 In a 2 x 2
table, phi ranges in value from
Answers:
a. 0 to ± 1.00.
b. 1 to 100.
c. -1.00 to + 1.00.
d. 0 to 1.00.
Question 6The characteristic(s) of a relationship between two
variables that must be analyzed for a full understanding of the
relationship is (are)
Answers:
a. the existence of an association.
b. the strength of an association.
c. the direction of an association.
d. All of the above
Question 7The relationship between measures of association
and causal relations between variables may be summarized as
Answers:
a. association proves causation.
b. measures of association can be used only for prediction,
never as evidence of a causal relationship between variables.
c. association and causation are unrelated concepts.
d. association does not prove causation.
Question 8Which of the following maximum differences would be
considered a moderate relationship??
Answers:
a. ?35%
b. ?6%
c. ?12%
d. ?47%
Question 9A Chi square test has been conducted to assess the
relationship between marital status and church attendance. The
obtained Chi square is 23.45 and the critical Chi square is 9.488.
What may be concluded?
Answers:
a. Reject the null hypothesis, church attendance and marital
status are independent
b. Reject the null hypothesis, church attendance and
marital status are dependent
c. Fail to reject the null hypothesis, church attendance and
marital status are dependent
d. Fail to reject the null hypothesis, church attendance and
marital status are independent
Question 10 A
bivariate table in which both variables have three categories has
Answers:
a. nine cells.
b. three cells.
c. thirty-three cells.
d. six cells.
Question 11An obtained chi square of 10.78 has been
calculated. Critical Chi square is 3.841. What should be concluded?
Answers:
a. Reject the null hypothesis, the variables are independent
b. Reject the null hypothesis, the variables are not
independent
c. Nothing — information is incomplete
d. Fail to reject the null hypothesis
Question 12Cell frequencies computed under the assumption
that the null hypothesis is true are called
Answers:
a. expected frequencies.
b. random frequencies.
c. experimental frequencies.
d. observed frequencies.
Question 13Chi square is used to test relationships for their
Answers:
a. logical importance.
b. statistical significance.
c. empirical importance.
d. theoretical importance.
Question 14How many degrees of freedom does a 3 x 3 bivariate
table have?
Answers:
a. 8
b. 4
c. 3
d. 6
Question 15In the Chi square test, degrees of freedom are
Answers:
a. N1 + N2 – 2
b. N – 1
c. (r – 1)(c – 1)
d. (r + 1)(c + 1)
Question 16In the chi square test of hypothesis, the null
hypothesis states that the variables are
Answers:
a. independent.
b. causally related.
c. non-random.
d. dependent.
Question 17The Chi square test is based on the assumption
that
Answers:
a. the null hypothesis is true.
b. samples are non-random.
c. the variables are dependent.
d. the expected frequencies are not produced by random
chance.
Question 18In multivariate analysis we investigate
Answers:
a. what happens when many variables are free to vary.
b. the mutual effects of two variables on each other.
c. what happens to the third variable when the first two are
controlled.
d. how a specific bivariate relationship is affected by
a control variable.
Question 19The technique of elaboration allows us to observe
the relationship between the _______ variable and the ________
variable for each value of the ___________ variable.
Answers:
a. independent, dependent, control
b. control, independent, dependent
c. independent, control, dependent
d. All of the above
Question 20How many partial tables will be produced if a
researcher controlled for gender?
Answers:
a. Three
b. One
c. Four
d. Two
Question 21If both the dependent and independent variables
had three values and the control variable had four values, how many
partial tables would be produced?
Answers:
a. Three
b. Four
c. Two
d. Twelve
Question 22If we investigate a bivariate relationship by
controlling for gender, which of the following would be consistent
with a direct relationship?
Answers:
a. There are many fewer men than women.
b. X and Y are related for men but not for women.
c. The relationship between X and Y is the same for men
and women.
d. The bivariate relationship between X and Y is zero for
both men and women.
Question 23 Interaction is said to exist when
Answers:
a. the partial tables differ from each other but are the same
as the bivariate table.
b. the partial tables display a weaker relationship than the
bivariate table.
c. the partial tables are the same but are different from the
bivariate table.
d. the partial tables differ from each other and from
the bivariate table.
Question 24The tables produced after controlling for a third
variable are called
Answers:
a. control tables.
b. partial tables.
c. elaboration tables.
d. trivariate tables.
Question 25Which of the following describes a direct
relationship between independent and dependent variables after
controlling for a third variable?
Answers:
a. The partial tables have many empty cells.
b. The bivariate relationship changes across the partial
tables.
c. The bivariate relationship is the same across the
partial tables.
d. One partial table is the same as the bivariate table, the
other(s) are very different.
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