The following three independent random samples are obtained from three normally distributed populations with equal variance. The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Group 1: Internship Group 2: Co-op Group 3: Work Study 11.75 11.5 11 11.25 12 11.5 10.75 14.25 10 13.25 13 11.25 10 11.25 13.25 10.5 12 10.5 10.5 12 13 10.75 12.5 13.5 9. 11.25 11.75 This data can be downloaded in serial format using this link: Download CSV Use your statistical software package to conduct a one-factor ANOVA to determine if the group means are equal using a = 0.01. Though not specifically assessed here, you are encouraged to also test the assumptions, plot the group means, and interpret the results. Group means (report to 2 decimal places): Group 1: Internship: Group 2: Co-op: Group 3: Work Study: ANOVA summary statistics: F-ratio = (report accurate to 3 decimal places) (report accurate to 4 decimal places) Condusion: O There is not sufficient data to condude the starting wages are different for the different groups. O The sample data suggest the average starting hourly wages are not the same.

The following three independent random samples are obtained from three normally distributed populations with equal variance. The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Group 1: Internship Group 2: Co-op Group 3: Work Study 11.75 11.5 11 11.25 12 11.5 10.75 14.25 10 13.25 13 11.25 10 11.25 13.25 10.5 12 10.5 10.5 12 13 10.75 12.5 13.5 9. 11.25 11.75 This data can be downloaded in serial format using this link: Download CSV Use your statistical software package to conduct a one-factor ANOVA to determine if the group means are equal using a = 0.01. Though not specifically assessed here, you are encouraged to also test the assumptions, plot the group means, and interpret the results. Group means (report to 2 decimal places): Group 1: Internship: Group 2: Co-op: Group 3: Work Study: ANOVA summary statistics: F-ratio = (report accurate to 3 decimal places) (report accurate to 4 decimal places) Condusion: O There is not sufficient data to condude the starting wages are different for the different groups. O The sample data suggest the average starting hourly wages are not the same.

Name: The following three independent random samples are obtained from thre
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: The following three independent random samples are obtained from three normally distributed populationswith equal variance. The dependent variable is starting hourly wage, and the groups are the types ofposition (internship, co-op, work study).Group

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

The community hospital is studying its distribution of patients. A random sample of 317 patients presently in the hospital gave the following information: Type of Patient Old rate of occurrences of the types of patients Present number of occurrences of these types of patients Maternity ward 20% 65 Cardiac ward 32% 100 Burn ward 10% 29 Children's ward 15% 48 All other wards 23% 75 Using a 5% level of significance, test the claim that the distribution of patients in these wards has not changed. Problem 1 (Test Statistic) A. χ2 = 0.036 B. χ2 = 315.36 C. χ2 = 0.355 D. χ2 = 1101.94 E. χ2 = 0.6322 Problem 2 (p-value, conclusion) A. p = 0.9965; RHo (Observed Values do not match Expectation) B. p = 0.9860; FRHo (Observed Values match Expectation) C. p = 0.9965; FRHo (Observed Values match Expectation) D. p = 0.9860; RHo (Observed Values do not match Expectation) E. p = 0.0035; RHo (Observed Values do not match Expectation)
In a one-way analysis of variance with three treatments, each with five measurements, in which a completely randomized design is used, what is the degrees of freedom for treatments? a. 5 b. 2 c. 4 d. 8
The following three independent random samples are obtained from three normally distributed populations with equal variances. The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). We are testing the claim that position is a factor in starting salaries for new college graduates. at a = 0.2 given the following data Group 1: Internship 11.75 12.5 10.75 11.5 11.75 11.75 12 11.5 11.5 8.5 Group 2: Co-op 13.75 12 11.5 12.75 12 13.5 13.5 11.5 12 13 1. Your friend Christopher helped you with the null and alternative hypotheses... Ho: μι = μ2 = 13 H₁: At least two of the means differ from each other. 2. For this study, we should use Select an answer ✓ 3. The test-statistic for this data = Group 3: Work Study 11 11.5 10.75 14.25 13 13.75 14.75 11.75 14.5 12.5 (Please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) 4. The p-value for this sample= 5. The p-value is Select an answer 6. Base on…
The following three independent random samples are obtained from three normally distributed populations with equal variance. The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Group 1: Internship Group 2: Co-op Group 3: Work Study 10.75 12.5 8.5 9.75 10.25 12.5 11.5 13 15.25 10.75 14.25 14.5 11.25 10.5 14 10.5 11 15 13.75 12.75 11.75 11.5 12.5 15.75 11.75 12.75 12 13.25 13.75 14 12.75 14.25 12.25 Conduct a one-factor ANOVA to determine if the group means are equal using α=0.01α=0.01. Group means:Group 1 mean: Group 2 mean: Group 3 mean: ANOVA summary statistics:F-test statistic = p=p= Conclusion: The sample data suggests there is a correlation in the starting hourly wages. There is not sufficient data to conclude that at least one group's average starting hourly wage is different. The sample data suggests the starting hourly wages are dependent There is not…
The following three independent random samples are obtained from three normally distributed populations with equal variances. The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Round answers to 4 decimal places. Internship Co-op Work Study 13.5 13.5 14.25 14.5 13.25 14.5 14.25 13.5 13.25 13 12.5 13.75 14.75 13 14.5 12.5 12.75 12.75 13.25 13.5 12.5 13.25 14 13.5 13.75 13.5 14 13.25 13 14 13.25 12.5 13.5 13.5 13.5 12.5 13.5 12.75 14.5 14 14.5 14 14.5 14.5 14.25 14.25 13.75 14.75 12.75 12.75 13.25 Use Excel to conduct a single-factor ANOVA to determine if the group means are equal using a = 0.01. Group means: Internship: Со-ор: Work Study: Fill in the summary table for the ANOVA test: df MS Between Within Total From this table, obtain the necessary statistics for the ANOVA: ANOVA summary statistics: Test Statistic = P-value = Conclusion: Select an answer
Childhood participation in sports, cultural groups, and youth groups appears to be related to improved self-esteem for adolescents (McGee, Williams, Howden-Chapman, Martin, & Kawachi, 2006). In a representative study, a sample of n = 100 adolescents with a history of group participation is given a stan- dardized self-esteem questionnaire. For the general population of adolescents, scores on this questionnaire form a normal distribution with a mean of p %3D 50 and %3D 15. The sample of group- a standard deviation of o %3D participation adolescents had an average of M = 53.8.
In her book Red Ink Behaviors, Jean Hollands reports on the assessment of leading Silicon Valley companies regarding a manager's lost time due to inappropriate behavior of employees. Consider the following independent random variables. The first variable x1 measures manager's hours per week lost due to hot tempers, flaming e-mails, and general unproductive tensions. x1: 1 5 8 4 2 4 10 The variable x2 measures manager's hours per week lost due to disputes regarding technical workers' superior attitudes that their colleagues are "dumb and dispensable". x2: 8 5 2 5 9 4 10 3 Use a calculator with sample mean and sample standard deviation keys to calculate x1, s1, x2, and s2. (Round your answers to two decimal places.) x1 = s1 = x2 = s2 = What is the value of the sample test statistic? Compute the corresponding z or t value as appropriate. (Test the difference μ1 − μ2. Do not use rounded values. Round your final answer to three decimal places.) (b) Find a…
The type of household for the U.S. population and for a random sample of 411 households from a community in Montana are shown below. Observed Number of Households in the Community Percent of U.S. Type of Household Households Married with children 26% 110 Married, no children Single parent One person Other (e.g., roommates, siblings) 29% 101 32 25% 98 11% 70 Use a 5% level of significance to test the claim that the distribution of U.S. households fits the Dove Creek distribution. (a) What is the level of significance? State the nul and alternate hypotheses. O Ho: The distributions are different. H: The distributions are the same. O Hg: The distributions are the same. H: The distributions are different. O Hg: The distributions are the same. H: The distributions are the same. O Hg: The distributions are different. H: The distributions are different. (b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to two decimal places. Round the test…
4.A college student is interested in whether there is a difference between male and female students in the amount of time they spend studying each week period the student gathers information from a random sample of male and female students on campus. The amount of time spent studying is normally distributed. The data are: Male Female 27 25 25 29 19 18 10 23 16 20 22 15 14 19 What statistical test should be done to analyze these data? Identify Ho and Ha for this study. Conduct the appropriate analysis. Should Ho be rejected? What should the researcher conclude? If significant, compute and interpret the effect size.
The following three independent random samples are obtained from three normally distributed populations with equal variances. The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Round answers to 4 decimal places. Internship Со-ор Work Study 15 14.5 15.25 13.75 13.5 16.5 15.5 12 12.75 13 15.75 14.75 14.5 15.25 13.5 13 12.25 15.25 16.75 13.75 13.25 17.25 13 15 13.5 12.5 14.75 13.5 12.25 13.25 14.25 13 16.5 14.75 16 16 14.5 12.75 15 15.5 16.75 14.75 16.25 14 14.25 Use Excel to conduct a single-factor ANOVA to determine if the group means are equal using a = 0.02. %3D Group means: Internship: Со-ор: Work Study: Fill in the summary table for the ANOVA test: df MS Between Within Total From this table, obtain the necessary statistics for the ANOVA: ANOVA summary statistics: Test Statistic = p-value = Conclusion: Select an answer
The following three independent random samples are obtained from three normally distributed populations with equal variance. The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Group 2: Co-op Group 3: Work Study Group 1: Internship 10 10.5 11.25 11 9.25 10.25 9.75 13.25 10.5 12.5 10.5 10.75 Use technology to conduct a one-factor ANOVA to determine if the group means are equal using a = 0.01. Group means (report to 2 decimal places): Group 1: Internship: Group 2: Co-op: Group 3: Work Study: ANOVA summary statistics: F-ratio = (report accurate to 3 decimal places) 12.25 10.5 10.75 11.5 10 10.5 р (report accurate to 4 decimal places) Conclusion: © The sample data suggest the average starting hourly wages are not the same. O There is not sufficient data to conclude the starting wages are different for the different groups.