Question 1

In a Friedman test with 4 treatment levels and 5 blocks, the df = ___.

Accepted Answer

A) 2 
B) 3 
C) 4 
D) 5 
E) 6 
A) 2 
B) 3 
C) 4 
D) 5 
E) 6

Question 2

The nonparametric alternative to the one-way analysis of variance is the Kruskal-Wallis test.

Accepted Answer

A) True 
 B)False

Question 3

When using the Friedman test to test the following data to determine whether there is a significant difference between treatment levels, the ranks for block 1 are ___.

Accepted Answer

A) 2, 3, 4, 1 
B) 3, 4, 1, 2 
C) 4, 1, 2, 3 
D) 4, 2, 3, 1 
E) 1, 2, 3, 4 
A) 2, 3, 4, 1 
B) 3, 4, 1, 2 
C) 4, 1, 2, 3 
D) 4, 2, 3, 1 
E) 1, 2, 3, 4

Question 4

Four types of bicycle tires are ridden in six different cities to see if the tires lasted about the same number of miles.If there are differences, then that tire could promote its durability to potential customers.Using the data in the table below and an alpha of 0.05, what is the appropriate decision?

Accepted Answer

A) Reject the null and conclude that all four tires have the same durability. 
B) Fail to reject the null and conclude that there is at least one tire whose durability is different from another tire. 
C) Reject the null and conclude that there is at least one tire whose durability is different from another tire. 
D) Fail to reject the null and conclude that all four tires have the same durability. 
E) Fail to reject the null and conclude that the durability of tires does not change by city. 
A) Reject the null and conclude that all four tires have the same durability. 
B) Fail to reject the null and conclude that there is at least one tire whose durability is different from another tire. 
C) Reject the null and conclude that there is at least one tire whose durability is different from another tire. 
D) Fail to reject the null and conclude that all four tires have the same durability. 
E) Fail to reject the null and conclude that the durability of tires does not change by city.

Question 5

To compare the means of two populations which cannot be assumed to be normally distributed and only ordinal-level data is available from two independent samples, we should use the t test for independent samples rather than the Mann-Whitney U test.

Accepted Answer

A) True 
 B)False

Question 6

In the one-sample runs test for randomness of the observations in a large sample the sampling distribution of R, the number of runs, is approximately binomial.

Accepted Answer

A) True 
 B)False

Question 7

Charles Kline monitors the daily performance of his investment portfolio by recording a "+" or a "-"sign to indicate whether the portfolio's value increased or decreased from the previous day.His record for the last eighteen business days is "- + + - - - + - - + + + - + + + + -".The number of runs in this sample is ___.

Accepted Answer

A) uncertain 
B) four 
C) five 
D) nine 
E) one 
A) uncertain 
B) four 
C) five 
D) nine 
E) one

Question 8

In a Mann-Whitney U test, U statistic was calculated to be 38.78 based on sample sizes of 24 and 20.What is the z value for this test?

Accepted Answer

A) 0.133 
B) -4.74 
C) 240 
D) 42.43 
E) 8.75 
A) 0.133 
B) -4.74 
C) 240 
D) 42.43 
E) 8.75

Question 9

The one-sample runs test is a nonparametric test of randomness in the sample data.

Accepted Answer

A) True 
 B)False

Question 10

A Kruskal-Wallis test is to be performed.There will be five categories, and alpha is chosen to be 0.01.The critical chi-square value is ___.

Accepted Answer

A) 15.086 
B) 13.277 
C) 7.779 
D) 9.236 
E) 8.987 
A) 15.086 
B) 13.277 
C) 7.779 
D) 9.236 
E) 8.987

Question 11

The nonparametric counterpart of the t test to compare the means of two related samples is the ___.

Accepted Answer

A) chi-square goodness-of-fit test 
B) chi-square test of independence 
C) Mann-Whitney U test 
D) Wilcoxon test 
E) Friedman test 
A) chi-square goodness-of-fit test 
B) chi-square test of independence 
C) Mann-Whitney U test 
D) Wilcoxon test 
E) Friedman test

Question 12

When using the Friedman test to test the following data to determine whether there is a significant difference between treatment levels, the df = ___.

Accepted Answer

A) 6 
B) 5 
C) 4 
D) 3 
E) 1 
A) 6 
B) 5 
C) 4 
D) 3 
E) 1

Question 13

In the Wilcoxon test of the differences between two populations, the value z statistic was calculated to be 1.80.If the level of significance is 0.05, which of the following decisions is appropriate?

Accepted Answer

A) Reject the null hypothesis. 
B) Do not reject the null hypothesis. 
C) indeterminate without the sample size 
D) indeterminate without all of the data 
E) inconclusive 
A) Reject the null hypothesis. 
B) Do not reject the null hypothesis. 
C) indeterminate without the sample size 
D) indeterminate without all of the data 
E) inconclusive

Question 14

In the Wilcoxon test of the differences between two populations, the value z statistic was calculated to be 1.80.If the level of significance is 0.10, which of the following decisions is appropriate?

Accepted Answer

A) Reject the null hypothesis. 
B) Do not reject the null hypothesis. 
C) indeterminate without the sample size 
D) indeterminate without all of the data 
E) inconclusive 
A) Reject the null hypothesis. 
B) Do not reject the null hypothesis. 
C) indeterminate without the sample size 
D) indeterminate without all of the data 
E) inconclusive

Question 15

In a Wilcoxon matched-pairs signed rank test with 20 matched-pairs of observations, the observed value of the T statistic based on sample data is 76.33.The corresponding observed z value is ___.

Accepted Answer

A) −1.79 
B) −2.07 
C) −1.70 
D) −1.59 
E) −1.07 
A) −1.79 
B) −2.07 
C) −1.70 
D) −1.59 
E) −1.07

Question 16

Performance records for 18 salespersons are selected to investigate whether compensation methods are a significant motivational factor.   A Kruskal-Wallis test performed with $\alpha$= 0.01 will result in a decision to ___.

Accepted Answer

A) reject the null hypothesis 
B) reject the alternate hypothesis 
C) not reject the null hypothesis 
D) not reject the alternate hypothesis 
E) do nothing 
A) reject the null hypothesis 
B) reject the alternate hypothesis 
C) not reject the null hypothesis 
D) not reject the alternate hypothesis 
E) do nothing

Question 17

The nonparametric alternative to analysis of variance for a randomized block design is the Friedman test.

Accepted Answer

A) True 
 B)False

Question 18

Nonparametric statistical techniques are based on fewer assumptions about the population and the parameters compared to parametric statistical techniques.

Accepted Answer

A) True 
 B)False

Question 19

The one-sample runs test is a nonparametric test for sequential independence.

Accepted Answer

A) True 
 B)False

In a Friedman test with 4 treatment levels and 5 blocks, the df = ___.

The nonparametric alternative to the one-way analysis of variance is the Kruskal-Wallis test.

When using the Friedman test to test the following data to determine whether there is a significant difference between treatment levels, the ranks for block 1 are ___.

To compare the means of two populations which cannot be assumed to be normally distributed and only ordinal-level data is available from two independent samples, we should use the t test for independent samples rather than the Mann-Whitney U test.

In the one-sample runs test for randomness of the observations in a large sample the sampling distribution of R, the number of runs, is approximately binomial.

In a Mann-Whitney U test, U statistic was calculated to be 38.78 based on sample sizes of 24 and 20.What is the z value for this test?

The one-sample runs test is a nonparametric test of randomness in the sample data.

A Kruskal-Wallis test is to be performed.There will be five categories, and alpha is chosen to be 0.01.The critical chi-square value is ___.

The nonparametric counterpart of the t test to compare the means of two related samples is the ___.

When using the Friedman test to test the following data to determine whether there is a significant difference between treatment levels, the df = ___.

In the Wilcoxon test of the differences between two populations, the value z statistic was calculated to be 1.80.If the level of significance is 0.05, which of the following decisions is appropriate?

In the Wilcoxon test of the differences between two populations, the value z statistic was calculated to be 1.80.If the level of significance is 0.10, which of the following decisions is appropriate?

In a Wilcoxon matched-pairs signed rank test with 20 matched-pairs of observations, the observed value of the T statistic based on sample data is 76.33.The corresponding observed z value is ___.

The nonparametric alternative to analysis of variance for a randomized block design is the Friedman test.

Nonparametric statistical techniques are based on fewer assumptions about the population and the parameters compared to parametric statistical techniques.

The one-sample runs test is a nonparametric test for sequential independence.

Introduction to Statistics

Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

Analysis of Variance and Design of Experiments

Simple Regression Analysis and Correlation

Multiple Regression Analysis

Building Multiple Regression Models

Time-Series Forecasting and Index Numbers

Analysis of Categorical Data

Statistical Quality Control

Decision Analysis

Filters

Exam 17: Nonparametric Statistics

In a Friedman test with 4 treatment levels and 5 blocks, the df = ___.

The nonparametric alternative to the one-way analysis of variance is the Kruskal-Wallis test.

When using the Friedman test to test the following data to determine whether there is a significant difference between treatment levels, the ranks for block 1 are ___.

To compare the means of two populations which cannot be assumed to be normally distributed and only ordinal-level data is available from two independent samples, we should use the t test for independent samples rather than the Mann-Whitney U test.

In the one-sample runs test for randomness of the observations in a large sample the sampling distribution of R, the number of runs, is approximately binomial.

In a Mann-Whitney U test, U statistic was calculated to be 38.78 based on sample sizes of 24 and 20.What is the z value for this test?

The one-sample runs test is a nonparametric test of randomness in the sample data.

A Kruskal-Wallis test is to be performed.There will be five categories, and alpha is chosen to be 0.01.The critical chi-square value is ___.

The nonparametric counterpart of the t test to compare the means of two related samples is the ___.

When using the Friedman test to test the following data to determine whether there is a significant difference between treatment levels, the df = ___.

In the Wilcoxon test of the differences between two populations, the value z statistic was calculated to be 1.80.If the level of significance is 0.05, which of the following decisions is appropriate?

In the Wilcoxon test of the differences between two populations, the value z statistic was calculated to be 1.80.If the level of significance is 0.10, which of the following decisions is appropriate?

In a Wilcoxon matched-pairs signed rank test with 20 matched-pairs of observations, the observed value of the T statistic based on sample data is 76.33.The corresponding observed z value is ___.

Performance records for 18 salespersons are selected to investigate whether compensation methods are a significant motivational factor. A Kruskal-Wallis test performed with α\alphaα = 0.01 will result in a decision to ___.

The nonparametric alternative to analysis of variance for a randomized block design is the Friedman test.

Nonparametric statistical techniques are based on fewer assumptions about the population and the parameters compared to parametric statistical techniques.

The one-sample runs test is a nonparametric test for sequential independence.

Introduction to Statistics

Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

Analysis of Variance and Design of Experiments

Simple Regression Analysis and Correlation

Multiple Regression Analysis

Building Multiple Regression Models

Time-Series Forecasting and Index Numbers

Analysis of Categorical Data

Statistical Quality Control

Decision Analysis

Filters