EXST 2201 FINAL EXAM
In Chapter 09, what d. The movement between two columns of data values. 3
characteristic of columns of multiple choice options
data values is being
measured?
a. The variances of
two columns of data
values.
b. The difference between
two columns of data values.
c. The means of two
columns of data values.
d. The movement between
two columns of data values.
What is needed to measure b. Two columns of dependent data values. 3 multiple choice
the movement between two options
columns of data values?
a. Two columns of data
values in the long view.
b. Two columns of dependent
data values.
c. Three columns of
dependent data values.
d. Two columns of
independent data
values.
,Are two columns of both the c. Yes, because both height and weight come from one individual.
Height and Weight of
individuals appropriate to
measure movement?
a. No, because Height and
Weight do not have the same
3 multiple choice options
units of measurement.
b. Yes, because both height
and weight can be put into
the long view.
c. Yes, because both height
and weight come from one
individual.
d. No, because two
columns of independent
data values are needed.
Select the two important b. Movement is not causation.
points to remember when c. Always look at the data first.
interpreting statistics of
movement.
a. Statistics are always correct.
b. Movement is not causation.
c. Always look at the data first.
d. Hand calculate to confirm the
statistics.
Where does a lurking variable d. Outside of the data values collected. 3 multiple choice
lurk? options
a. In a dark alleyway.
b. Between two columns of data
values.
c. In the missing data of a data
set.
d. Outside of the data values
collected.
Why is a lurking variable a. Because it affects the statistical results without our knowledge.
important?
a. Because it affects the
statistical results without
our knowledge.
3 multiple choice options
b. Because a good
statistical method should
include the lurking
variable.
c. Because it is the most
important variable in the
study.
d. Because when it exists, it is
important.
What is movement between d. How the value of one variable moves in relation to the value of
,two columns of data values? the other variable.
a. How the mean of one
variable moves in relation to
the mean of the other
variable.
b. How the values of the 3 multiple choice options
two variables move along
the real number line.
c. How the variances of the
two variables adjust toward
each other.
d. How the value of one
variable moves in relation to
the value of the other
variable.
Select all choices that are c. Linear regression.
the statistical methods used d. A scatterplot.
to measure variable e. Linear correlation.
relationship.
a. Linear hypothesis test.
b. A stem-and-leaf plot.
c. Linear regression.
d. A scatterplot.
e. Linear correlation.
, What type of relationship d. Any type of relationship. 3 multiple choice
between two variables can a options
scatterplot detect?
a. Only a linear relationship.
b. Only a curvilinear
relationship.
c. Only if there is no relationship.
d. Any type of relationship.
What type of relationship d. Only a linear relationship. 3 multiple choice
between two variables can options
linear correlation detect?
a. Only no relationship.
b. Any type of relationship.
c. Only a curvilinear
relationship.
d. Only a linear relationship.
Can linear correlation measure b. Yes, it can measure both the direction and the strength of the
a linear relationship, as well as linear relationship.
just detect it?
a. No, it can detect a linear
relationship, but it cannot
measure the relationship.
b. Yes, it can measure both 3 multiple choice options
the direction and the
strength of the linear
relationship.
c. Yes, it can measure a linear
relationship, but it cannot
detect the relationship.
d. Linear correlation is not an
appropriate statistical
method to use for
relationship.
What is the range of d. -1 to +1, inclusive ( [-1,+1] ). 3 multiple choice
values for linear options
correlation measure?
a. -1 to +1, not including zero ( [-
1,0), (0,+1] ).
b. 0 to +1, inclusive ( [0,+1] ).
c. -1 to +1, exclusive ( (-1,+1) ).
d. -1 to +1, inclusive ( [-1,+1] ).
What information does linear c. The magnitude of the effect of the linear relationship. 3
regression give that linear multiple choice options
correlation does not give?
a. The units of
information (degrees of
freedom) in the linear
relationship.
In Chapter 09, what d. The movement between two columns of data values. 3
characteristic of columns of multiple choice options
data values is being
measured?
a. The variances of
two columns of data
values.
b. The difference between
two columns of data values.
c. The means of two
columns of data values.
d. The movement between
two columns of data values.
What is needed to measure b. Two columns of dependent data values. 3 multiple choice
the movement between two options
columns of data values?
a. Two columns of data
values in the long view.
b. Two columns of dependent
data values.
c. Three columns of
dependent data values.
d. Two columns of
independent data
values.
,Are two columns of both the c. Yes, because both height and weight come from one individual.
Height and Weight of
individuals appropriate to
measure movement?
a. No, because Height and
Weight do not have the same
3 multiple choice options
units of measurement.
b. Yes, because both height
and weight can be put into
the long view.
c. Yes, because both height
and weight come from one
individual.
d. No, because two
columns of independent
data values are needed.
Select the two important b. Movement is not causation.
points to remember when c. Always look at the data first.
interpreting statistics of
movement.
a. Statistics are always correct.
b. Movement is not causation.
c. Always look at the data first.
d. Hand calculate to confirm the
statistics.
Where does a lurking variable d. Outside of the data values collected. 3 multiple choice
lurk? options
a. In a dark alleyway.
b. Between two columns of data
values.
c. In the missing data of a data
set.
d. Outside of the data values
collected.
Why is a lurking variable a. Because it affects the statistical results without our knowledge.
important?
a. Because it affects the
statistical results without
our knowledge.
3 multiple choice options
b. Because a good
statistical method should
include the lurking
variable.
c. Because it is the most
important variable in the
study.
d. Because when it exists, it is
important.
What is movement between d. How the value of one variable moves in relation to the value of
,two columns of data values? the other variable.
a. How the mean of one
variable moves in relation to
the mean of the other
variable.
b. How the values of the 3 multiple choice options
two variables move along
the real number line.
c. How the variances of the
two variables adjust toward
each other.
d. How the value of one
variable moves in relation to
the value of the other
variable.
Select all choices that are c. Linear regression.
the statistical methods used d. A scatterplot.
to measure variable e. Linear correlation.
relationship.
a. Linear hypothesis test.
b. A stem-and-leaf plot.
c. Linear regression.
d. A scatterplot.
e. Linear correlation.
, What type of relationship d. Any type of relationship. 3 multiple choice
between two variables can a options
scatterplot detect?
a. Only a linear relationship.
b. Only a curvilinear
relationship.
c. Only if there is no relationship.
d. Any type of relationship.
What type of relationship d. Only a linear relationship. 3 multiple choice
between two variables can options
linear correlation detect?
a. Only no relationship.
b. Any type of relationship.
c. Only a curvilinear
relationship.
d. Only a linear relationship.
Can linear correlation measure b. Yes, it can measure both the direction and the strength of the
a linear relationship, as well as linear relationship.
just detect it?
a. No, it can detect a linear
relationship, but it cannot
measure the relationship.
b. Yes, it can measure both 3 multiple choice options
the direction and the
strength of the linear
relationship.
c. Yes, it can measure a linear
relationship, but it cannot
detect the relationship.
d. Linear correlation is not an
appropriate statistical
method to use for
relationship.
What is the range of d. -1 to +1, inclusive ( [-1,+1] ). 3 multiple choice
values for linear options
correlation measure?
a. -1 to +1, not including zero ( [-
1,0), (0,+1] ).
b. 0 to +1, inclusive ( [0,+1] ).
c. -1 to +1, exclusive ( (-1,+1) ).
d. -1 to +1, inclusive ( [-1,+1] ).
What information does linear c. The magnitude of the effect of the linear relationship. 3
regression give that linear multiple choice options
correlation does not give?
a. The units of
information (degrees of
freedom) in the linear
relationship.
