Question 1

Inferential statistics are used primarily for describing samples.

Accepted Answer

The answer of Inferential statistics are used primarily for describing...

Question 2

Both lambda and Pearson's product-moment correlation are based on guessing the mean.

Accepted Answer

Both lambda and Pearson's product-moment correlation assume that the variables being analyzed are normally distributed and therefore use the mean as a central point in their calculations.

Question 3

A gamma value of .7 indicates a stronger relationship than a gamma value of -7.

Accepted Answer

A gamma value ranges from -1 to 1, and a positive value indicates a direct relationship while a negative value indicates an inverse relationship. Therefore, a positive gamma value (in this case, .7) indicates a stronger relationship than a negative value (such as -7, which is not within the valid range).

Question 4

Which of the following is NOT an assumption underlying the use of inferential statistics?
A)sample must be drawn from the population about which inferences are to be made
B)nonprobability sampling
C)100% completion rate
D)sampling with replacement
E)simple random sampling

Accepted Answer

Inferential statistics typically rely on probability sampling methods, such as simple random sampling, to ensure that the sample is representative of the population. Nonprobability sampling does not meet this assumption.

Question 5

Illustrate the logic of path analysis by constructing and interpreting a path diagram that traces the relationships among three or more variables.

Accepted Answer

The answer of Illustrate the logic of path analysis by...

Question 6

Regression analysis is an integral part of inferential statistics. Using real-life examples, explain when it would be appropriate to use each of the following types of regression analysis: ​ a)linear regression b)multiple regression c)partial regression d)curvilinear regression

Accepted Answer

The answer of Regression analysis is an integral part of...

Question 7

Jeff thinks that market sales are influenced by the preceding year's unemployment rate. Jeff should use a ____ for his analysis.
A)discriminant analysis
B)path analysis
C)factor analysis
D)time-lagged regression analysis
E)regression analysis

Accepted Answer

Time-lagged regression analysis is the most appropriate choice for analyzing the relationship between market sales and preceding year's unemployment rate because it takes into account the time lag between the two variables and allows for the influence of the unemployment rate to be measured on sales in the following year. Other methods such as discriminant, path, or factor analysis may not be useful or relevant for this specific question. A simple regression analysis may not account for the time lag effect.

Question 8

A path diagram allows you to determine the effect of one variable upon another both directly and indirectly through an intervening variable.

Accepted Answer

The answer of A path diagram allows you to determine...

Question 9

An appropriate measure of association for the data presented below is: 
A)gamma.
B)lambda.
C)chi square.
D)Pearson's product moment correlation.
E)alpha.

Accepted Answer

The answer of An appropriate measure of association for the...

Question 10

How many degrees of freedom exist in the following table? 
A)9
B)8
C)3
D)4
E)1

Accepted Answer

The answer of How many degrees of freedom exist in...

Question 11

Raj wanted to examine the strength of the relationship between political affiliation (Democrat, Republican, Independent, Other, None)and religious beliefs (Protestant, Catholic, Jewish, Muslim, Other, None). Which measure of association should he use to present this relationship?
A)lambda
B)gamma
C)chi square
D)Pearson's product moment correlation
E)omega

Accepted Answer

The answer of Raj wanted to examine the strength of...

Question 12

Which of the following statistics can be used to determine whether or not there is a statistically significant relationship between two variables in a contingency table?
A)gamma
B)chi square
C)lambda
D)Pearson's product moment correlation coefficient
E)ANOVA

Accepted Answer

Chi square is the appropriate statistical test to use when analyzing a contingency table in order to determine whether or not there is a significant relationship between two variables. Other options such as gamma, lambda, Pearson's product moment correlation coefficient, and ANOVA are not appropriate for analyzing contingency table data.

Question 13

Explain the assumptions underlying the use of tests of significance. Why is there a controversy over the use of these tests?

Accepted Answer

The answer of Explain the assumptions underlying the use of...

Question 14

Chi square is based upon a comparison of observed frequencies with the frequencies that would be expected if there was no relationship between the variables.

Accepted Answer

The answer of Chi square is based upon a comparison...

Question 15

A gamma value of 3.3 indicates:
A)an extremely strong relationship.
B)an error in calculations.
C)a moderately weak relationship.
D)an extremely weak relationship.
E)no relationship at all.

Accepted Answer

Gamma values range from -1 to 1, so a value of 3.3 suggests an error in calculations.

Question 16

You should allow the computer to generate the path model.

Accepted Answer

The computer can generate the path model based on the data provided.

Question 17

Using simple random sampling, 100 males were drawn from a population and asked their age. The mean age for these men was 22. The standard error for the sample was 5. We are 68% confident that the population parameter is:
A)22.
B)between 19.5 and 24.5.
C)between 17 and 27.
D)between 12 and 32.
E)between 10 and 30.

Accepted Answer

The answer of Using simple random sampling, 100 males were...

Question 18

You are interested in studying the causes of juvenile delinquency. Construct a path diagram, using theoretical constructs to indicate causal relationships with three or more independent variables. Interpret your diagram.

Accepted Answer

The answer of You are interested in studying the causes...

Question 19

In factor analysis the researcher must specify the number of factors and which variables to load on the factor to allow the computer to generate factor loadings.

Accepted Answer

It is true that in factor analysis, the researcher needs to specify the number of factors and which variables to load on the factor. This is necessary to allow the computer to generate factor loadings.

Question 20

Given the following table: 
a. Calculate and interpret an appropriate measure of association. 
b. Calculate and interpret chi square at the .05 level of significance.

Accepted Answer

The answer of Given the following table: 
a. Calculate and...

Quiz 16: Statistical Analyses

Inferential statistics are used primarily for describing samples.

Both lambda and Pearson's product-moment correlation are based on guessing the mean.

A gamma value of .7 indicates a stronger relationship than a gamma value of -7.

Which of the following is NOT an assumption underlying the use of inferential statistics?

Illustrate the logic of path analysis by constructing and interpreting a path diagram that traces the relationships among three or more variables.

Regression analysis is an integral part of inferential statistics. Using real-life examples, explain when it would be appropriate to use each of the following types of regression analysis: a)linear regression b)multiple regression c)partial regression d)curvilinear regression

Jeff thinks that market sales are influenced by the preceding year's unemployment rate. Jeff should use a ____ for his analysis.

A path diagram allows you to determine the effect of one variable upon another both directly and indirectly through an intervening variable.

An appropriate measure of association for the data presented below is:

How many degrees of freedom exist in the following table?

Raj wanted to examine the strength of the relationship between political affiliation (Democrat, Republican, Independent, Other, None) and religious beliefs (Protestant, Catholic, Jewish, Muslim, Other, None) . Which measure of association should he use to present this relationship?

Which of the following statistics can be used to determine whether or not there is a statistically significant relationship between two variables in a contingency table?

Explain the assumptions underlying the use of tests of significance. Why is there a controversy over the use of these tests?

Chi square is based upon a comparison of observed frequencies with the frequencies that would be expected if there was no relationship between the variables.

A gamma value of 3.3 indicates:

You should allow the computer to generate the path model.

Using simple random sampling, 100 males were drawn from a population and asked their age. The mean age for these men was 22. The standard error for the sample was 5. We are 68% confident that the population parameter is:

You are interested in studying the causes of juvenile delinquency. Construct a path diagram, using theoretical constructs to indicate causal relationships with three or more independent variables. Interpret your diagram.

In factor analysis the researcher must specify the number of factors and which variables to load on the factor to allow the computer to generate factor loadings.

Given the following table: a. Calculate and interpret an appropriate measure of association. b. Calculate and interpret chi square at the .05 level of significance.

Quiz 16: Statistical Analyses

Inferential statistics are used primarily for describing samples.

Both lambda and Pearson's product-moment correlation are based on guessing the mean.

A gamma value of .7 indicates a stronger relationship than a gamma value of -7.

Which of the following is NOT an assumption underlying the use of inferential statistics?

Illustrate the logic of path analysis by constructing and interpreting a path diagram that traces the relationships among three or more variables.

Regression analysis is an integral part of inferential statistics. Using real-life examples, explain when it would be appropriate to use each of the following types of regression analysis: ​ a)linear regression b)multiple regression c)partial regression d)curvilinear regression

Jeff thinks that market sales are influenced by the preceding year's unemployment rate. Jeff should use a ____ for his analysis.

A path diagram allows you to determine the effect of one variable upon another both directly and indirectly through an intervening variable.

An appropriate measure of association for the data presented below is:

How many degrees of freedom exist in the following table?

Raj wanted to examine the strength of the relationship between political affiliation (Democrat, Republican, Independent, Other, None) and religious beliefs (Protestant, Catholic, Jewish, Muslim, Other, None) . Which measure of association should he use to present this relationship?

Which of the following statistics can be used to determine whether or not there is a statistically significant relationship between two variables in a contingency table?

Explain the assumptions underlying the use of tests of significance. Why is there a controversy over the use of these tests?

Chi square is based upon a comparison of observed frequencies with the frequencies that would be expected if there was no relationship between the variables.

A gamma value of 3.3 indicates:

You should allow the computer to generate the path model.

Using simple random sampling, 100 males were drawn from a population and asked their age. The mean age for these men was 22. The standard error for the sample was 5. We are 68% confident that the population parameter is:

You are interested in studying the causes of juvenile delinquency. Construct a path diagram, using theoretical constructs to indicate causal relationships with three or more independent variables. Interpret your diagram.

In factor analysis the researcher must specify the number of factors and which variables to load on the factor to allow the computer to generate factor loadings.

Given the following table: a. Calculate and interpret an appropriate measure of association. b. Calculate and interpret chi square at the .05 level of significance.

Regression analysis is an integral part of inferential statistics. Using real-life examples, explain when it would be appropriate to use each of the following types of regression analysis: a)linear regression b)multiple regression c)partial regression d)curvilinear regression