Question 1

Phi coefficient is for examining the relationship between:

Accepted Answer

A)  two nominal variables 
B)  two nominal variables drawn from dependent data 
C)  for examining the relationship between two dichotomous variables when the data are drawn from independent samples 
D)  for examining the relationship between two nominal variables with many categories 
A)  two nominal variables 
B)  two nominal variables drawn from dependent data 
C)  for examining the relationship between two dichotomous variables when the data are drawn from independent samples 
D)  for examining the relationship between two nominal variables with many categories C

Question 2

Phi coefficient is for examining the relationship between two dichotomous variables when the data are drawn from independent data and just like the Spearman rank correlation coefficient, the higher the score the stronger is the relationship between the two variables.

Accepted Answer

A) True 
 B)False  True

Question 3

The binomial test is an appropriate statistical measure for determining:

Accepted Answer

A)  whether the frequencies between two categories of a nominal variable are significantly different 
B)  whether the two values of an interval variable are significantly different 
C)  whether the frequencies between two ratio level measurements are significantly different 
D)  whether the observations between two categories of a variable are significantly different 
A)  whether the frequencies between two categories of a nominal variable are significantly different 
B)  whether the two values of an interval variable are significantly different 
C)  whether the frequencies between two ratio level measurements are significantly different 
D)  whether the observations between two categories of a variable are significantly different A

Question 4

For dichotomous variables, the strength of the relationship between the variables and practical significance can be established through:

Accepted Answer

A)  either chi square or the contingency coefficient 
B)  either chi square or the binomial test 
C)  either effect size or the p value 
D)  either the p value or correlation 
A)  either chi square or the contingency coefficient 
B)  either chi square or the binomial test 
C)  either effect size or the p value 
D)  either the p value or correlation

Question 5

The McNemar's test is used with:

Accepted Answer

A)  data from independent samples 
B)  comparison group design 
C)  paired data 
D)  ordinal data from different groups 
A)  data from independent samples 
B)  comparison group design 
C)  paired data 
D)  ordinal data from different groups

Question 6

The binomial test could be used with the posttest only data when you have a threshold proportion for comparison.

Accepted Answer

A) True 
 B)False

Question 7

When analyzing data from small samples, Chi square is not an appropriate test:

Accepted Answer

A)  if 80% or more of the cells have expected frequencies less than 5 
B)  if 70% or more of the cells have expected frequencies less than 5 
C)  if 20% or more of the cells have expected frequencies less than 5 
D)  if 66% or more of the cells have expected frequencies less than 5 
A)  if 80% or more of the cells have expected frequencies less than 5 
B)  if 70% or more of the cells have expected frequencies less than 5 
C)  if 20% or more of the cells have expected frequencies less than 5 
D)  if 66% or more of the cells have expected frequencies less than 5

Question 8

A negative sign in front of the phi coefficient value in the output generated from SPSS is meaningless because you cannot have a positive or negative relationship between two nominal variables as this type of variable puts people into categories that have no order.

Accepted Answer

A) True 
 B)False

Question 9

The two tests which measure the magnitude of the relationship between two variables measured at the nominal level and are used in examining practical significance discussed in this text are:

Accepted Answer

A)  the phi coefficient and the Binomial test 
B)  the contingency coefficient and the Fisher Exact probability test 
C)  the phi coefficient and the p value 
D)  the phi coefficient and the contingency coefficient 
A)  the phi coefficient and the Binomial test 
B)  the contingency coefficient and the Fisher Exact probability test 
C)  the phi coefficient and the p value 
D)  the phi coefficient and the contingency coefficient

Question 10

If you were comparing three different treatments on the basis of each person categorized either as recovered or not recovered for each treatment, you would have three groups to compare and therefore you would use:

Accepted Answer

A)  contingency coefficient 
B)  phi coefficient 
C)  chi square 
D)  binomial test 
A)  contingency coefficient 
B)  phi coefficient 
C)  chi square 
D)  binomial test

Question 11

Practical significance is determined by the application of statistical tests.

Accepted Answer

A) True 
 B)False

Question 12

Explain the importance of the need to observe the expected frequencies in the cells when you compute a chi square test.

Accepted Answer

The number of cells with expected freque

Question 13

The expected frequency is the frequency for a given cell that would represent a failure to find statistical significance.

Accepted Answer

A) True 
 B)False

Question 14

The McNemar test for the significance of changes is a variation of the:

Accepted Answer

A)  binomial test 
B)  phi Coefficient measure 
C)  chi square test 
D)  t Test 
A)  binomial test 
B)  phi Coefficient measure 
C)  chi square test 
D)  t Test

Question 15

The test that is useful, when you want to know whether the frequencies in the categories of a nominal variable are significantly different from one another, is:

Accepted Answer

A)  the one-sample t Test 
B)  the binomial test 
C)  the contingency coefficient 
D)  the one-sample chi square 
A)  the one-sample t Test 
B)  the binomial test 
C)  the contingency coefficient 
D)  the one-sample chi square

Question 16

The most frequently used chi square statistic, in examining questions such as the relationship between ethnicity and employment when measured as nominal variable is:

Accepted Answer

A)  the binomial test 
B)  the chi square test for independent samples 
C)  the contingency coefficient 
D)  the one-sample chi square 
A)  the binomial test 
B)  the chi square test for independent samples 
C)  the contingency coefficient 
D)  the one-sample chi square

Question 17

The McNemar test is useful for the examination of the relationship between two nominal variables when the data are related.

Accepted Answer

A) True 
 B)False

Question 18

When you have the pretest-posttest one group design with the dependent variable that is dichotomous, you will use:

Accepted Answer

A)  McNemar test 
B)  phi coefficient 
C)  chi square 
D)  binomial test 
A)  McNemar test 
B)  phi coefficient 
C)  chi square 
D)  binomial test

Question 19

Chi square is an appropriate test when analyzing data from small samples.

Accepted Answer

A) True 
 B)False

Question 20

When you want to know whether a given set of proportions of a dichotomous variable are different from a 50-50 split, you will use:

Accepted Answer

A)  McNemar's test 
B)  phi coefficient 
C)  Pearson's coefficient 
D)  binomial test 
A)  McNemar's test 
B)  phi coefficient 
C)  Pearson's coefficient 
D)  binomial test

Phi coefficient is for examining the relationship between:

Phi coefficient is for examining the relationship between two dichotomous variables when the data are drawn from independent data and just like the Spearman rank correlation coefficient, the higher the score the stronger is the relationship between the two variables.

The binomial test is an appropriate statistical measure for determining:

For dichotomous variables, the strength of the relationship between the variables and practical significance can be established through:

The McNemar's test is used with:

The binomial test could be used with the posttest only data when you have a threshold proportion for comparison.

When analyzing data from small samples, Chi square is not an appropriate test:

A negative sign in front of the phi coefficient value in the output generated from SPSS is meaningless because you cannot have a positive or negative relationship between two nominal variables as this type of variable puts people into categories that have no order.

The two tests which measure the magnitude of the relationship between two variables measured at the nominal level and are used in examining practical significance discussed in this text are:

If you were comparing three different treatments on the basis of each person categorized either as recovered or not recovered for each treatment, you would have three groups to compare and therefore you would use:

Practical significance is determined by the application of statistical tests.

Explain the importance of the need to observe the expected frequencies in the cells when you compute a chi square test.

The expected frequency is the frequency for a given cell that would represent a failure to find statistical significance.

The McNemar test for the significance of changes is a variation of the:

The test that is useful, when you want to know whether the frequencies in the categories of a nominal variable are significantly different from one another, is:

The most frequently used chi square statistic, in examining questions such as the relationship between ethnicity and employment when measured as nominal variable is:

The McNemar test is useful for the examination of the relationship between two nominal variables when the data are related.

When you have the pretest-posttest one group design with the dependent variable that is dichotomous, you will use:

Chi square is an appropriate test when analyzing data from small samples.

When you want to know whether a given set of proportions of a dichotomous variable are different from a 50-50 split, you will use:

Why Do We Use Statistics

Using the Computer for Statistical Analysis of Data

Selecting a Statistic to Answer Your Research Question

Using Descriptive Statistics to Describe Your Study Sample

Analyzing Data With Pretest and Posttest Measurements of One Group

Analyzing Data When You Are Comparing Two Groups

Analyzing Data When You Are Evaluating a Single Client

Explaining Client Gain

A Synopsis of Selected Statistical Tests for Examining Ordinal Data

Statistics for Evidence-Based Practice

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Exam 9: A Synopsis of Selected Statistical Tests for Examining Nominal Data

Phi coefficient is for examining the relationship between:

Phi coefficient is for examining the relationship between two dichotomous variables when the data are drawn from independent data and just like the Spearman rank correlation coefficient, the higher the score the stronger is the relationship between the two variables.

The binomial test is an appropriate statistical measure for determining:

For dichotomous variables, the strength of the relationship between the variables and practical significance can be established through:

The McNemar's test is used with:

The binomial test could be used with the posttest only data when you have a threshold proportion for comparison.

When analyzing data from small samples, Chi square is not an appropriate test:

A negative sign in front of the phi coefficient value in the output generated from SPSS is meaningless because you cannot have a positive or negative relationship between two nominal variables as this type of variable puts people into categories that have no order.

The two tests which measure the magnitude of the relationship between two variables measured at the nominal level and are used in examining practical significance discussed in this text are:

If you were comparing three different treatments on the basis of each person categorized either as recovered or not recovered for each treatment, you would have three groups to compare and therefore you would use:

Practical significance is determined by the application of statistical tests.

Explain the importance of the need to observe the expected frequencies in the cells when you compute a chi square test.

The expected frequency is the frequency for a given cell that would represent a failure to find statistical significance.

The McNemar test for the significance of changes is a variation of the:

The test that is useful, when you want to know whether the frequencies in the categories of a nominal variable are significantly different from one another, is:

The most frequently used chi square statistic, in examining questions such as the relationship between ethnicity and employment when measured as nominal variable is:

The McNemar test is useful for the examination of the relationship between two nominal variables when the data are related.

When you have the pretest-posttest one group design with the dependent variable that is dichotomous, you will use:

Chi square is an appropriate test when analyzing data from small samples.

When you want to know whether a given set of proportions of a dichotomous variable are different from a 50-50 split, you will use:

Why Do We Use Statistics

Using the Computer for Statistical Analysis of Data

Selecting a Statistic to Answer Your Research Question

Using Descriptive Statistics to Describe Your Study Sample

Analyzing Data With Pretest and Posttest Measurements of One Group

Analyzing Data When You Are Comparing Two Groups

Analyzing Data When You Are Evaluating a Single Client

Explaining Client Gain

A Synopsis of Selected Statistical Tests for Examining Ordinal Data

Statistics for Evidence-Based Practice

Filters