Description
Non?parametric?tests?are?conducted?when?the?data?do?not?meet?all?of?the?assumptions?required?for?parametric
testing.?This?could?be?normal?distribution,?independence?of?variables,?etc.?Each?parametric?test?has?a?nonparametric
equivalent?that?can?be?run?if?the?data?is?not?normal.?For?example,?the?Pearson?Correlation?test?is?run
to?determine?if?a?relationship?exists.?However,?if?the?data?is?not?normally?distributed,?the?Spearman?s?Rho
Correlation?test?(the?non?parametric?equivalent)?is?run?instead.?Chi?Square?is?another?of?those?non?parametric
tests?and?you?will?be?looking?more?into?the?Chi?Square?test?this?Week.
Review?the?resources?listed?in?the?Books?and?Resources?area?below?to?prepare?for?this?week?s?assignment(s).
this?week?and?complete?the?assigned?questions?and?exercises.?Show?your?work?(Excel?program?output);?you?may
type?your?answers?directly?into?the?Word?document?for?submission.
BUS 4025 ? Assignment 7

For these problems, please use Excel to show your work, and submit the Excel spreadsheet along with your completed assignment.

1. For the following problems, state the null and alternate hypothesis, find the chi-square test statistic, decide whether to reject or fail to reject the null hypothesis, and provide your analysis and conclusions.

a. Results from a survey five years ago that asked how long they had to wait in the waiting room to see their doctor. You randomly selected 250 people and asked them how long they had to wait in the waiting room. Can you conclude at sig. of .01 that there has been a change in claimed or expected distribution?

Actual Minutes Actual Percentage Survey Result Minutes Survey Result Frequency
1 ? 5 14% 1 ? 5 21
6 ? 10 18% 6 ? 10 39
11 ? 15 27% 11 ? 15 37
16 ? 20 15% 16 ? 20 53
21 ? 25 11% 21 ? 25 40
26 ? 30 9% 26 ? 30 34
31 and over 6% 31 and over 26

b. Results from a previous survey asked baseball players on a high school team what they needed help with the most in baseball. To determine whether the distribution is the same, a researcher studied 125 randomly selected players and asked them what they needed the most help with. The results are shown below. At a sig. of .05 are the distributions the same?

Actual Percentage Survey Result
Bunting 11% 18
Batting Approach 38% 33
Strategy 26% 47
Throwing Velocity 25% 27

2. For the following problems, find the expected frequencies of each cell in the table, perform a chi-square test for independence, and comment on the relationship between the variables. Assume the variables are independent.

a. The contingency table shows the results of a random sample of college professors and the years of teaching at the university level.

Gender < 1 Year 1 ? 3 Years 4 ? 7 Years 8 ? 15 Years Over 15 Years
Male 35 47 58 135 150
Female 53 68 128 97 54

b. The contingency table shows the results of a random sample of individuals by gender and gas mileage of vehicle owned.

Gender 1 ? 15 MPG 16 ? 21 MPG 22 ? 28 MPG 29 ? 35 MPG Over 35 MPG
Male 13 86 118 87 24
Female 11 45 68 134 128

3. The table below shows the raw score for reading comprehension on a college entrance exam for 7 randomly selected male students and 10 randomly selected female students. Assuming that the entrance exam test scores are normally distributed, at a sig. of .05, test the claim that the test score variance for females is different from the males.

Female 47 48 53 41 38 56 58 36 40 47
Male 48 49 47 60 57 58 52

4. In the following problems, use the given sample data to perform a one-way ANOVA test using a .05 level of significance. What are your conclusions? Assume the sample is drawn from a normal population, the samples are independent, and the populations have the same variances

a. The table shows the average annual cost of high speed internet access in dollars for a random sample of individuals in four different regions of a state.

Northern Southern Eastern Western
125 145 162 171
130 120 158 168
115 140 145 187
124 138 143 155
120 162
168

b. The table shows the annual income for a random sample of individuals in four regions of a state.

Northern Southern Eastern Western
34,000 38,000 54,000 110,000
48,000 49,000 65,000 89,000
57,500 60,750 78,000 65,000
42,000 51,500 62,000 128,000
62,500 55,500
38,500

5. Application: Create a data set of your own regarding something of interest to you. Populate the data set with sample data (at least 10 records). Use your sample data set to perform a one-way ANOVA test using a .05 level of significance. What are your conclusions? Assume the sample is drawn from a normal population, the samples are independent, and the populations have the same variances.

6. For the following problems, identify the claim and state the null and alternate hypotheses, determine the critical value, find the test statistic, determine whether to reject or fail to reject the null hypothesis, and interpret the decision in the context of the original claim.

a. The store manager claims that the median number of customers per day through the checkout lines is no more than 225. A sample of customers per day through the checkout lines over 15 days is listed below. At .05 can you reject the manager?s claim?

215 224 261 208 194 198 230 216
213 200 154 223 210 174 187

b. A loan officer at a bank maintains that the median credit rating of its customers pursuing a mortgage loan is at least 695. The credit scores for 20 randomly selected mortgage loan customers is listed below. At .05 can you reject the loan officer?s claim?

617 695 706 631 711 625 653 612 707
719 605 619 621 699 644 665 697 609
687 711

c. A local police agency states that the median ticket cost for a speeding ticket issued is $185. In a random sample of 35 speeding tickets, the data is below. Can you reject the claim that the median ticket cost for a speeding ticket is $185?

154 158 135 157 185 100 178 140 177 97 111 99 115 156 147 102 140 175 185 114 142 128 224 159 131 187 167 145 120 218 195 201 130 194 221

7. For the following, determine whether the samples are dependent or independent, and choose the appropriate Wilcoxon test, state the null and alternate hypothesis, determine the critical values, find the test statistic, state whether you reject or fail to reject the null hypothesis, and explain your answer.

a. A college estimates the number of semesters it takes to complete a bachelor?s degree differs by gender. The table shows 10 male and 10 female students (randomly selected) and the number of semesters to complete the degree.

Male 18 17 15 20 16 20 18 16 17 19
Female 16 17 17 16 18 20 21 18 19 16

8. For the following use the Spearman rank correlation coefficient to test the claim. Identify and state the null and alternate hypothesis, find the test statistic, decide whether to reject the null hypothesis, and form an analysis of your findings.

a. Overall scores and the prices for 10 randomly selected flat screen televisions. The score is based on overall quality of the television. At a .05 sig. can you conclude there is a correlation between price and score?

Score 91 94 99 89 86 81 72 85 94 98 86
Price (in dollars) 1250 1500 1495 1150 1195 1685 989 1175 1350 1425 1300

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Your email address will not be published. Required fields are marked *

Description
Non?parametric?tests?are?conducted?when?the?data?do?not?meet?all?of?the?assumptions?required?for?parametric
testing.?This?could?be?normal?distribution,?independence?of?variables,?etc.?Each?parametric?test?has?a?nonparametric
equivalent?that?can?be?run?if?the?data?is?not?normal.?For?example,?the?Pearson?Correlation?test?is?run
to?determine?if?a?relationship?exists.?However,?if?the?data?is?not?normally?distributed,?the?Spearman?s?Rho
Correlation?test?(the?non?parametric?equivalent)?is?run?instead.?Chi?Square?is?another?of?those?non?parametric
tests?and?you?will?be?looking?more?into?the?Chi?Square?test?this?Week.
Review?the?resources?listed?in?the?Books?and?Resources?area?below?to?prepare?for?this?week?s?assignment(s).
this?week?and?complete?the?assigned?questions?and?exercises.?Show?your?work?(Excel?program?output);?you?may
type?your?answers?directly?into?the?Word?document?for?submission.
BUS 4025 ? Assignment 7

For these problems, please use Excel to show your work, and submit the Excel spreadsheet along with your completed assignment.

1. For the following problems, state the null and alternate hypothesis, find the chi-square test statistic, decide whether to reject or fail to reject the null hypothesis, and provide your analysis and conclusions.

a. Results from a survey five years ago that asked how long they had to wait in the waiting room to see their doctor. You randomly selected 250 people and asked them how long they had to wait in the waiting room. Can you conclude at sig. of .01 that there has been a change in claimed or expected distribution?

Actual Minutes Actual Percentage Survey Result Minutes Survey Result Frequency
1 ? 5 14% 1 ? 5 21
6 ? 10 18% 6 ? 10 39
11 ? 15 27% 11 ? 15 37
16 ? 20 15% 16 ? 20 53
21 ? 25 11% 21 ? 25 40
26 ? 30 9% 26 ? 30 34
31 and over 6% 31 and over 26

b. Results from a previous survey asked baseball players on a high school team what they needed help with the most in baseball. To determine whether the distribution is the same, a researcher studied 125 randomly selected players and asked them what they needed the most help with. The results are shown below. At a sig. of .05 are the distributions the same?

Actual Percentage Survey Result
Bunting 11% 18
Batting Approach 38% 33
Strategy 26% 47
Throwing Velocity 25% 27

2. For the following problems, find the expected frequencies of each cell in the table, perform a chi-square test for independence, and comment on the relationship between the variables. Assume the variables are independent.

a. The contingency table shows the results of a random sample of college professors and the years of teaching at the university level.

Gender < 1 Year 1 ? 3 Years 4 ? 7 Years 8 ? 15 Years Over 15 Years
Male 35 47 58 135 150
Female 53 68 128 97 54

b. The contingency table shows the results of a random sample of individuals by gender and gas mileage of vehicle owned.

Gender 1 ? 15 MPG 16 ? 21 MPG 22 ? 28 MPG 29 ? 35 MPG Over 35 MPG
Male 13 86 118 87 24
Female 11 45 68 134 128

3. The table below shows the raw score for reading comprehension on a college entrance exam for 7 randomly selected male students and 10 randomly selected female students. Assuming that the entrance exam test scores are normally distributed, at a sig. of .05, test the claim that the test score variance for females is different from the males.

Female 47 48 53 41 38 56 58 36 40 47
Male 48 49 47 60 57 58 52

4. In the following problems, use the given sample data to perform a one-way ANOVA test using a .05 level of significance. What are your conclusions? Assume the sample is drawn from a normal population, the samples are independent, and the populations have the same variances

a. The table shows the average annual cost of high speed internet access in dollars for a random sample of individuals in four different regions of a state.

Northern Southern Eastern Western
125 145 162 171
130 120 158 168
115 140 145 187
124 138 143 155
120 162
168

b. The table shows the annual income for a random sample of individuals in four regions of a state.

Northern Southern Eastern Western
34,000 38,000 54,000 110,000
48,000 49,000 65,000 89,000
57,500 60,750 78,000 65,000
42,000 51,500 62,000 128,000
62,500 55,500
38,500

5. Application: Create a data set of your own regarding something of interest to you. Populate the data set with sample data (at least 10 records). Use your sample data set to perform a one-way ANOVA test using a .05 level of significance. What are your conclusions? Assume the sample is drawn from a normal population, the samples are independent, and the populations have the same variances.

6. For the following problems, identify the claim and state the null and alternate hypotheses, determine the critical value, find the test statistic, determine whether to reject or fail to reject the null hypothesis, and interpret the decision in the context of the original claim.

a. The store manager claims that the median number of customers per day through the checkout lines is no more than 225. A sample of customers per day through the checkout lines over 15 days is listed below. At .05 can you reject the manager?s claim?

215 224 261 208 194 198 230 216
213 200 154 223 210 174 187

b. A loan officer at a bank maintains that the median credit rating of its customers pursuing a mortgage loan is at least 695. The credit scores for 20 randomly selected mortgage loan customers is listed below. At .05 can you reject the loan officer?s claim?

617 695 706 631 711 625 653 612 707
719 605 619 621 699 644 665 697 609
687 711

c. A local police agency states that the median ticket cost for a speeding ticket issued is $185. In a random sample of 35 speeding tickets, the data is below. Can you reject the claim that the median ticket cost for a speeding ticket is $185?

154 158 135 157 185 100 178 140 177 97 111 99 115 156 147 102 140 175 185 114 142 128 224 159 131 187 167 145 120 218 195 201 130 194 221

7. For the following, determine whether the samples are dependent or independent, and choose the appropriate Wilcoxon test, state the null and alternate hypothesis, determine the critical values, find the test statistic, state whether you reject or fail to reject the null hypothesis, and explain your answer.

a. A college estimates the number of semesters it takes to complete a bachelor?s degree differs by gender. The table shows 10 male and 10 female students (randomly selected) and the number of semesters to complete the degree.

Male 18 17 15 20 16 20 18 16 17 19
Female 16 17 17 16 18 20 21 18 19 16

8. For the following use the Spearman rank correlation coefficient to test the claim. Identify and state the null and alternate hypothesis, find the test statistic, decide whether to reject the null hypothesis, and form an analysis of your findings.

a. Overall scores and the prices for 10 randomly selected flat screen televisions. The score is based on overall quality of the television. At a .05 sig. can you conclude there is a correlation between price and score?

Score 91 94 99 89 86 81 72 85 94 98 86
Price (in dollars) 1250 1500 1495 1150 1195 1685 989 1175 1350 1425 1300

Leave a Reply

Your email address will not be published. Required fields are marked *