Transcript Quiz Chapter One

Psy302 Quantitative Methods
QUIZ CHAPTER FIFTEEN
Opening Day, Today: 3:00 p.m.
1. A statistical procedure used to describe
the strength and direction of the linear
relationship between two factors is called
A. effect size
B. power
C. hypothesis testing
D. coincidence
E. a correlation
1. A statistical procedure used to describe
the strength and direction of the linear
relationship between two factors is called
A. effect size
B. power
C. hypothesis testing
D. coincidence
E. a correlation
2. The strength and direction of a
correlation are measured by the
correlation coefficient which is
represented as:
A. μ
B. 
C. σ
D. r
E. cc
2. The strength and direction of a
correlation are measured by the
correlation coefficient which is
represented as:
A. μ
B. 
C. σ
D. r
E. cc
3. A researcher measures the following
correlation between cups of coffee consumed
daily and daily work schedule. Which
description best explains the relationship
between these two factors?
A. The more a person works,
the more coffee he or she
tends to drink.
B. The less a person works,
the more coffee he or she
tends to drink.
C. The more a person works,
the less coffee he or she
tends to drink.
D. No linear pattern is
evident.
3. A researcher measures the following
correlation between cups of coffee consumed
daily and daily work schedule. Which
description best explains the relationship
between these two factors?
A. The more a person
works, the more coffee
he or she tends to drink.
B. The less a person works,
the more coffee he or she
tends to drink.
C. The more a person works,
the less coffee he or she
tends to drink.
D. No linear pattern is
evident.
4. With correlation data we cannot talk
about:
A. a relationship
B.
C.
D.
E.
between variables
prediction
one moving with
another
one variable causing
another
all of the above
4. With correlation data we cannot talk
about:
A. a relationship
B.
C.
D.
E.
between variables
prediction
one moving with
another
one variable causing
another
all of the above
5. R2 or ________ is the proportion of
variance in one variable that can be
explained by the second.
A. Times square
B. the coefficient of
determination
C. the sum of squares
D. The Chi Square test
E. analysis of variance
5. R2 or ________ is the proportion of
variance in one variable that can be
explained by the second.
A. Times square
B. the coefficient of
determination
C. the sum of squares
D. The Chi Square test
E. analysis of variance
6. Which of the following indicates the
strongest correlation?
A. r = –0.57
B. r = +0.78
C. r = –0.90
D. r = +0.88
E. r= .o99
6. Which of the following indicates the
strongest correlation?
A. r = –0.57
B. r = +0.78
C. r = –0.90
D. r = +0.88
E. r= .o99
7. The correlation coefficient ranges from –
1.0 to +1.0, with values closer to ±1.0
indicating
A. a more positive
B.
C.
D.
E.
relationship between
two factors
a stronger relationship
between two factors
that two factors are less
likely to be related
that the correlation is
due to outliers
all of the above
7. The correlation coefficient ranges from –
1.0 to +1.0, with values closer to ±1.0
indicating
A. a more positive
B.
C.
D.
E.
relationship between
two factors
a stronger relationship
between two factors
that two factors are less
likely to be related
that the correlation is
due to outliers
all of the above
8. The correlation coefficient measures the
extent to which changes in one factor are
_______ in a second factor.
A. related to changes
B. causing changes
C. causing variability
D. exactly mirrored
E. all of the above
8. The correlation coefficient measures the
extent to which changes in one factor are
_______ in a second factor.
A. related to changes
B. causing changes
C. causing variability
D. exactly mirrored
E. all of the above
9. The most common measure of effect size
for the correlation coefficient is called
A. the correlation coefficient
B. the coefficient of
determination
C. estimated Cohen's d
D. the test statistic
9. The most common measure of effect size
for the correlation coefficient is called
A. the correlation coefficient
B. the coefficient of
determination
C. estimated Cohen's d
D. the test statistic
10. The coefficient of determination is
A. a measure of effect
size
B. mathematically
equivalent to etasquared
C. equal to the
correlation coefficient
squared
D. all of the above
10. The coefficient of determination is
A. a measure of effect
size
B. mathematically
equivalent to etasquared
C. equal to the
correlation coefficient
squared
D. all of the above
The End