Question 1

Gamma is an appropriate measure of association for

Accepted Answer

A) examining the relationships between more than two ordinal-level variables. 
B) nominal-level variables with more than 3 scores. 
C) ordinal level variables arranged in a bivariate table. 
D) ordinal level variables with many scores. 
A) examining the relationships between more than two ordinal-level variables. 
B) nominal-level variables with more than 3 scores. 
C) ordinal level variables arranged in a bivariate table. 
D) ordinal level variables with many scores.

Question 2

A researcher tested the relationship between occupational prestige and level of approval of a proposal to ban handguns in the state and found a gamma of -0.17.This relationship is

Accepted Answer

A) weak and negative. 
B) strong and negative. 
C) weakly moderate. 
D) positive and weak. 
A) weak and negative. 
B) strong and negative. 
C) weakly moderate. 
D) positive and weak.

Question 3

Gamma is based on two prediction rules.In the first,we ____ and in the second we ____.

Accepted Answer

A) ignore X,take X into account 
B) ignore Y,take X into account 
C) ignore X,take Y into account 
D) ignore both X and Y,take only Y into account 
A) ignore X,take X into account 
B) ignore Y,take X into account 
C) ignore X,take Y into account 
D) ignore both X and Y,take only Y into account

Question 4

For a relationship involving education and library use,gamma was +0.37.This indicates that

Accepted Answer

A) library use increases with education. 
B) the well educated are more likely to purchase books. 
C) as education goes up,people are less likely to go to the library. 
D) people with limited funds have greater need for free public libraries. 
A) library use increases with education. 
B) the well educated are more likely to purchase books. 
C) as education goes up,people are less likely to go to the library. 
D) people with limited funds have greater need for free public libraries.

Question 5

For the relationship between social class and movie attendance,a researcher found a gamma of -0.45.This relationship is

Accepted Answer

A) weak and negative. 
B) strong and positive. 
C) negative and moderate. 
D) moderate and weak. 
A) weak and negative. 
B) strong and positive. 
C) negative and moderate. 
D) moderate and weak.

Question 6

Table 14.1
$\begin{array}{|l|l|l|l|}
\hline  \text { Table 14.1 Support for }\
\text {Restrictive Immigration}\ 
\text {Policy by Education}\
\hline & \text { EDUCATION}\
\hline \text { SUPPORT } & \text { Less than HighSchool }  & \text { HighSchool } & \text { College } \
\hline \text { Low } & 60 & 30 & 10 \
\hline \text { Neutral } & 20 & 30 & 20 \
\hline \text { High } & 10& 40 & 70  \
\hline &100\%&100\%&100\%\
\hline
\end{array}$
In Table 14.1,support for immigration restriction ____ as education increases.

Accepted Answer

A) decreases 
B) increases 
C) moderates 
D) weakens 
A) decreases 
B) increases 
C) moderates 
D) weakens

Question 7

Gamma and lambda are based on the logic of

Accepted Answer

A) chi square. 
B) associational percentaging. 
C) proportional repartitioning. 
D) proportional reduction in error. 
A) chi square. 
B) associational percentaging. 
C) proportional repartitioning. 
D) proportional reduction in error.

Question 8

A researcher tested the relationship between occupational prestige and level of approval of a proposal to ban handguns in the state and found a gamma of -0.17.This means that

Accepted Answer

A) as prestige goes up,support for the ban goes down. 
B) the electorate will approve the ban. 
C) support for the ban is highest among the rich. 
D) support tends to increase as prestige increases. 
A) as prestige goes up,support for the ban goes down. 
B) the electorate will approve the ban. 
C) support for the ban is highest among the rich. 
D) support tends to increase as prestige increases.

Question 9

The null hypothesis for test of significance with gamma states that

Accepted Answer

A) there is no association between the variables in the sample. 
B) there is a perfect association between the variables in the sample. 
C) there is no association between the variables in the population from which the samples were taken. 
D) chi square is zero. 
A) there is no association between the variables in the sample. 
B) there is a perfect association between the variables in the sample. 
C) there is no association between the variables in the population from which the samples were taken. 
D) chi square is zero.

Question 10

A study of the effects of fluoride in the water supply on level of calcium deficiency in women found a Spearman's rho of +0.30.Our PRE for this relationship is

Accepted Answer

A) 30%. 
B) 90% 
C) 3%. 
D) 9%. 
A) 30%. 
B) 90% 
C) 3%. 
D) 9%.

Question 11

Spearman's rho is appropriate for ordinal level variables because it is computed from

Accepted Answer

A) raw scores. 
B) the square root of gamma. 
C) ranks,not scores. 
D) percentiles,not ranks. 
A) raw scores. 
B) the square root of gamma. 
C) ranks,not scores. 
D) percentiles,not ranks.

Question 12

Table 14.1
$\begin{array}{|l|l|l|l|}
\hline  \text { Table 14.1 Support for }\
\text {Restrictive Immigration}\ 
\text {Policy by Education}\
\hline & \text { EDUCATION}\
\hline \text { SUPPORT } & \text { Less than HighSchool }  & \text { HighSchool } & \text { College } \
\hline \text { Low } & 60 & 30 & 10 \
\hline \text { Neutral } & 20 & 30 & 20 \
\hline \text { High } & 10& 40 & 70  \
\hline &100\%&100\%&100\%\
\hline
\end{array}$
Table 14.1 shows a relationship between education and support for a policy to restrict immigration to the United States.The relationship between education and opposition is

Accepted Answer

A) positive. 
B) negative. 
C) neither a positive nor negative relationship since the variables are measured at the nominal level. 
D) none of the above 
A) positive. 
B) negative. 
C) neither a positive nor negative relationship since the variables are measured at the nominal level. 
D) none of the above

Question 13

A bivariate table has 1843 pairs of cases ranked the same (Ns)and 345 pairs of cases ranked differently (Nd).This is

Accepted Answer

A) a negative relationship. 
B) a positive relationship. 
C) a very weak relationship. 
D) impossible.These totals are mathematically impossible. 
A) a negative relationship. 
B) a positive relationship. 
C) a very weak relationship. 
D) impossible.These totals are mathematically impossible.

Question 14

In the formula for gamma,Nd represents the number of pairs of cases

Accepted Answer

A) in all dissimilar cells. 
B) ranked differently on both variables. 
C) with low scores. 
D) that have different scores on either variable. 
A) in all dissimilar cells. 
B) ranked differently on both variables. 
C) with low scores. 
D) that have different scores on either variable.

Question 15

In the case of gamma,a negative relationship means that

Accepted Answer

A) if case A ranks below case B on one variable,case A will rank below case B on the other variable. 
B) if case A ranks above case B on one variable,it will rank below case B on the other variable. 
C) if case A ranks above case B on one variable,it will rank above case B on the other variable. 
D) the ranking of cases will be unrelateD. 
A) if case A ranks below case B on one variable,case A will rank below case B on the other variable. 
B) if case A ranks above case B on one variable,it will rank below case B on the other variable. 
C) if case A ranks above case B on one variable,it will rank above case B on the other variable. 
D) the ranking of cases will be unrelateD.

Question 16

A gamma computed on the relationship between marital happiness and amount of TV viewing is +0.78.This relationship is

Accepted Answer

A) weak and positive. 
B) strong and positive. 
C) moderate and positive. 
D) positive and weak. 
A) weak and positive. 
B) strong and positive. 
C) moderate and positive. 
D) positive and weak.

Question 17

For variables measured at the ordinal level,gamma measures

Accepted Answer

A) the statistical significance of the relationship. 
B) the proportional reduction in error gained by predicting one variable while taking the other into account. 
C) the relative importance of each variable to the association. 
D) all of the above 
A) the statistical significance of the relationship. 
B) the proportional reduction in error gained by predicting one variable while taking the other into account. 
C) the relative importance of each variable to the association. 
D) all of the above

Question 18

Gamma measures the proportional reduction in error when predicting

Accepted Answer

A) the order of pairs of cases on one variable. 
B) the order of pairs of cases on both variables. 
C) the order of a pair of cases on one variable with knowledge of the order of the pair on the other variable. 
D) none of the above 
A) the order of pairs of cases on one variable. 
B) the order of pairs of cases on both variables. 
C) the order of a pair of cases on one variable with knowledge of the order of the pair on the other variable. 
D) none of the above

Question 19

For ordinal level variables with only a few categories or values,an appropriate measure of association would be

Accepted Answer

A) Spearman's rho. 
B) Gamma. 
C) Chi square. 
D) Cramer's V. 
A) Spearman's rho. 
B) Gamma. 
C) Chi square. 
D) Cramer's V.

Question 20

Mathematically,gamma is the ratio of the difference between the number of pairs of cases ranked the same minus the number of pairs of cases ranked differently to

Accepted Answer

A) N. 
B) Chi square. 
C) the total number of pairs of cases (not counting ties). 
D) 1.00. 
A) N. 
B) Chi square. 
C) the total number of pairs of cases (not counting ties). 
D) 1.00.

Gamma is an appropriate measure of association for

A researcher tested the relationship between occupational prestige and level of approval of a proposal to ban handguns in the state and found a gamma of -0.17.This relationship is

Gamma is based on two prediction rules.In the first,we and in the second we .

For a relationship involving education and library use,gamma was +0.37.This indicates that

For the relationship between social class and movie attendance,a researcher found a gamma of -0.45.This relationship is

Table 14.1 Table 14.1 Support for Restrictive Immigration Policy by Education EDUCATION SUPPORT Less than HighSchool HighSchool College Low 60 30 10 Neutral 20 30 20 High 10 40 70 100\% 100\% 100\% In Table 14.1,support for immigration restriction ____ as education increases.

Gamma and lambda are based on the logic of

A researcher tested the relationship between occupational prestige and level of approval of a proposal to ban handguns in the state and found a gamma of -0.17.This means that

The null hypothesis for test of significance with gamma states that

A study of the effects of fluoride in the water supply on level of calcium deficiency in women found a Spearman's rho of +0.30.Our PRE for this relationship is

Spearman's rho is appropriate for ordinal level variables because it is computed from

A bivariate table has 1843 pairs of cases ranked the same (N_s)and 345 pairs of cases ranked differently (N_d).This is

In the formula for gamma,N_d represents the number of pairs of cases

In the case of gamma,a negative relationship means that

A gamma computed on the relationship between marital happiness and amount of TV viewing is +0.78.This relationship is

For variables measured at the ordinal level,gamma measures

Gamma measures the proportional reduction in error when predicting

For ordinal level variables with only a few categories or values,an appropriate measure of association would be

Mathematically,gamma is the ratio of the difference between the number of pairs of cases ranked the same minus the number of pairs of cases ranked differently to

Introduction

Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction to Inferential Statistics: Sampling and the Sampling Distribution

Estimation Procedures

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Bivariate Association: Introduction and Basic Concepts

Association Between Variables Measured at the Nominal Level

Association Between Variables Measured at the Interval-Ratio Level

Elaborating Bivariate Tables

Partial Correlation and Multiple Regression and Correlation

Filters

Exam 14: Association Between Variables Measured at the Ordinal Level

Gamma is an appropriate measure of association for

A researcher tested the relationship between occupational prestige and level of approval of a proposal to ban handguns in the state and found a gamma of -0.17.This relationship is

Gamma is based on two prediction rules.In the first,we ____ and in the second we ____.

For a relationship involving education and library use,gamma was +0.37.This indicates that

For the relationship between social class and movie attendance,a researcher found a gamma of -0.45.This relationship is

Table 14.1 Table 14.1 Support for Restrictive Immigration Policy by Education EDUCATION SUPPORT Less than HighSchool HighSchool College Low 60 30 10 Neutral 20 30 20 High 10 40 70 100\% 100\% 100\% In Table 14.1,support for immigration restriction ____ as education increases.

Gamma and lambda are based on the logic of

A researcher tested the relationship between occupational prestige and level of approval of a proposal to ban handguns in the state and found a gamma of -0.17.This means that

The null hypothesis for test of significance with gamma states that

A study of the effects of fluoride in the water supply on level of calcium deficiency in women found a Spearman's rho of +0.30.Our PRE for this relationship is

Spearman's rho is appropriate for ordinal level variables because it is computed from

A bivariate table has 1843 pairs of cases ranked the same (Ns)and 345 pairs of cases ranked differently (Nd).This is

In the formula for gamma,Nd represents the number of pairs of cases

In the case of gamma,a negative relationship means that

A gamma computed on the relationship between marital happiness and amount of TV viewing is +0.78.This relationship is

For variables measured at the ordinal level,gamma measures

Gamma measures the proportional reduction in error when predicting

For ordinal level variables with only a few categories or values,an appropriate measure of association would be

Mathematically,gamma is the ratio of the difference between the number of pairs of cases ranked the same minus the number of pairs of cases ranked differently to

Introduction

Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction to Inferential Statistics: Sampling and the Sampling Distribution

Estimation Procedures

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Bivariate Association: Introduction and Basic Concepts

Association Between Variables Measured at the Nominal Level

Association Between Variables Measured at the Interval-Ratio Level

Elaborating Bivariate Tables

Partial Correlation and Multiple Regression and Correlation

Filters

Gamma is based on two prediction rules.In the first,we and in the second we .

A bivariate table has 1843 pairs of cases ranked the same (N_s)and 345 pairs of cases ranked differently (N_d).This is

In the formula for gamma,N_d represents the number of pairs of cases