Question 1

For the following crosstable, answer these questions:
 $\begin{array}{|l|c|c}
\hline \begin{array}{c}
\text { Count } \
\text { Percent }
\end{array} & \begin{array}{l}
\text { White } \
\text { Males }
\end{array} & \begin{array}{l}
\text { Males of } \
\text { Color }
\end{array} \
\hline \text { Junior } & 55 & 36\
\text { College or } & 28.4 & 56.3 \
\text { less }\
\hline
\text { College or } & 139 & 28 \
\text { more } & 71.6 & 43.8\
\hline \text { Totals } & 194 & 64 \
& 40.9 & 13.5 \
\hline
\end{array}
\begin{array}{|c|c|c|}
\hline \begin{array}{l}
\text { White } \
\text { Females }
\end{array} &{\text { Females of }} & \text { Total } \
\hline 128 & 30 & 249 \
72.7 & 75.0 & 52.5 \
& & \
\hline 48 & 10 & 225 \
27.3 & 25.0 & 47.5 \
\hline 176 & 40 & 474 \
37.1 & 8.4 & 100.0 \
\hline
\end{array}$
-put into words what the 56.3 says:

Accepted Answer

56,3 percent of men of color have a junior college education or less.

Question 2

Put into words using the concept of PRE what each of the following correlations mean:
-Gamma = .65 for a relationship between categories of income and gender.

Accepted Answer

65% of the reasons why income varies among the sample is due to their gender, or we reduce our errors in predicting income categories by 65% when we know respondents' gender

Question 3

The percentages for each value or category of the ___________ variable should add up to 100 percent.

Accepted Answer

independent

Question 4

Indicate which measure of relationship or association - in addition to chi-square -you would use to test each of the following null hypotheses (lambda, gamma, or Pearson r):
-there is no relationship between height and GPA _______

Accepted Answer

The answer of Indicate which measure of relationship or association...

Question 5

Indicate which measure of relationship or association - in addition to chi-square -you would use to test each of the following null hypotheses (lambda, gamma, or Pearson r):
-there is no relationship between race and the type of car owned _______

Accepted Answer

The answer of Indicate which measure of relationship or association...

Question 6

For the following crosstable, answer these questions:
 $\begin{array}{|l|c|c}
\hline \begin{array}{c}
\text { Count } \
\text { Percent }
\end{array} & \begin{array}{l}
\text { White } \
\text { Males }
\end{array} & \begin{array}{l}
\text { Males of } \
\text { Color }
\end{array} \
\hline \text { Junior } & 55 & 36\
\text { College or } & 28.4 & 56.3 \
\text { less }\
\hline
\text { College or } & 139 & 28 \
\text { more } & 71.6 & 43.8\
\hline \text { Totals } & 194 & 64 \
& 40.9 & 13.5 \
\hline
\end{array}
\begin{array}{|c|c|c|}
\hline \begin{array}{l}
\text { White } \
\text { Females }
\end{array} &{\text { Females of }} & \text { Total } \
\hline 128 & 30 & 249 \
72.7 & 75.0 & 52.5 \
& & \
\hline 48 & 10 & 225 \
27.3 & 25.0 & 47.5 \
\hline 176 & 40 & 474 \
37.1 & 8.4 & 100.0 \
\hline
\end{array}$
-Which statistics would you use to test the relationship?

Accepted Answer

The answer of For the following crosstable, answer these questions:
...

Question 7

Put into words using the concept of PRE what each of the following correlations mean:
-Lambda = .30 for a relationship between type of car owned and religious preference

Accepted Answer

The answer of Put into words using the concept of...

Question 8

For the following crosstable, answer these questions:
 $\begin{array}{|l|c|c}
\hline \begin{array}{c}
\text { Count } \
\text { Percent }
\end{array} & \begin{array}{l}
\text { White } \
\text { Males }
\end{array} & \begin{array}{l}
\text { Males of } \
\text { Color }
\end{array} \
\hline \text { Junior } & 55 & 36\
\text { College or } & 28.4 & 56.3 \
\text { less }\
\hline
\text { College or } & 139 & 28 \
\text { more } & 71.6 & 43.8\
\hline \text { Totals } & 194 & 64 \
& 40.9 & 13.5 \
\hline
\end{array}
\begin{array}{|c|c|c|}
\hline \begin{array}{l}
\text { White } \
\text { Females }
\end{array} &{\text { Females of }} & \text { Total } \
\hline 128 & 30 & 249 \
72.7 & 75.0 & 52.5 \
& & \
\hline 48 & 10 & 225 \
27.3 & 25.0 & 47.5 \
\hline 176 & 40 & 474 \
37.1 & 8.4 & 100.0 \
\hline
\end{array}$
-what would you conclude about the hypothesis based on these data? Put into words what this data analysis is telling us.

Accepted Answer

The answer of For the following crosstable, answer these questions:
...

Question 9

A correlation of .05 is a strong significant relationship.

Accepted Answer

A) True 
 B)False

Question 10

For the following crosstable, answer these questions:
 $\begin{array}{|l|c|c}
\hline \begin{array}{c}
\text { Count } \
\text { Percent }
\end{array} & \begin{array}{l}
\text { White } \
\text { Males }
\end{array} & \begin{array}{l}
\text { Males of } \
\text { Color }
\end{array} \
\hline \text { Junior } & 55 & 36\
\text { College or } & 28.4 & 56.3 \
\text { less }\
\hline
\text { College or } & 139 & 28 \
\text { more } & 71.6 & 43.8\
\hline \text { Totals } & 194 & 64 \
& 40.9 & 13.5 \
\hline
\end{array}
\begin{array}{|c|c|c|}
\hline \begin{array}{l}
\text { White } \
\text { Females }
\end{array} &{\text { Females of }} & \text { Total } \
\hline 128 & 30 & 249 \
72.7 & 75.0 & 52.5 \
& & \
\hline 48 & 10 & 225 \
27.3 & 25.0 & 47.5 \
\hline 176 & 40 & 474 \
37.1 & 8.4 & 100.0 \
\hline
\end{array}$
-what is the null hypothesis being tested here?

Accepted Answer

The answer of For the following crosstable, answer these questions:
...

Question 11

For the following crosstable, answer these questions:
 $\begin{array}{|l|c|c}
\hline \begin{array}{c}
\text { Count } \
\text { Percent }
\end{array} & \begin{array}{l}
\text { White } \
\text { Males }
\end{array} & \begin{array}{l}
\text { Males of } \
\text { Color }
\end{array} \
\hline \text { Junior } & 55 & 36\
\text { College or } & 28.4 & 56.3 \
\text { less }\
\hline
\text { College or } & 139 & 28 \
\text { more } & 71.6 & 43.8\
\hline \text { Totals } & 194 & 64 \
& 40.9 & 13.5 \
\hline
\end{array}
\begin{array}{|c|c|c|}
\hline \begin{array}{l}
\text { White } \
\text { Females }
\end{array} &{\text { Females of }} & \text { Total } \
\hline 128 & 30 & 249 \
72.7 & 75.0 & 52.5 \
& & \
\hline 48 & 10 & 225 \
27.3 & 25.0 & 47.5 \
\hline 176 & 40 & 474 \
37.1 & 8.4 & 100.0 \
\hline
\end{array}$
-Which is the independent variable and which is the dependent variable?

Accepted Answer

The answer of For the following crosstable, answer these questions:
...

Question 12

Indicate which measure of relationship or association - in addition to chi-square -you would use to test each of the following null hypotheses (lambda, gamma, or Pearson r):
-there is no relationship between numerical scores on an exam and number of hours studied _________

Accepted Answer

The answer of Indicate which measure of relationship or association...

Question 13

Put into words using the concept of PRE what each of the following correlations mean:
-Pearson r = -.40 for a relationship between GPA and number of hours partying in a typical week

Accepted Answer

The answer of Put into words using the concept of...

Question 14

Indicate which measure of relationship or association - in addition to chi-square -you would use to test each of the following null hypotheses (lambda, gamma, or Pearson r):
-there is no relationship between schooling completed (measured as high school, some college, college, graduate school) and frequency of reading literary magazines (measured as daily, a few times a week, monthly, yearly) __________

Accepted Answer

The answer of Indicate which measure of relationship or association...

Question 15

Which one of the following is the strongest correlation coefficient?

Accepted Answer

A)   -.45
B)   .56
C)   -.78
D)   .02

Exam 7: Analyzing Data: Bivariate Relationships

Put into words using the concept of PRE what each of the following correlations mean: -Gamma = .65 for a relationship between categories of income and gender.

The percentages for each value or category of the ___________ variable should add up to 100 percent.

Indicate which measure of relationship or association - in addition to chi-square -you would use to test each of the following null hypotheses (lambda, gamma, or Pearson r): -there is no relationship between height and GPA _______

Indicate which measure of relationship or association - in addition to chi-square -you would use to test each of the following null hypotheses (lambda, gamma, or Pearson r): -there is no relationship between race and the type of car owned _______

Put into words using the concept of PRE what each of the following correlations mean: -Lambda = .30 for a relationship between type of car owned and religious preference

A correlation of .05 is a strong significant relationship.

Indicate which measure of relationship or association - in addition to chi-square -you would use to test each of the following null hypotheses (lambda, gamma, or Pearson r): -there is no relationship between numerical scores on an exam and number of hours studied _________

Put into words using the concept of PRE what each of the following correlations mean: -Pearson r = -.40 for a relationship between GPA and number of hours partying in a typical week

Which one of the following is the strongest correlation coefficient?