A Deloitte employment survey asked a sample of human resource executives how their company planned to change its workforce over the next 12 months. A categoricalresponse variable showed three options: The company plans to hire and add to the number of employees, the company plans no change in the number of employees, or thecompany plans to lay off and reduce the number of employees. Another categorical variable indicated if the company was private or public. Sample data for 178 companies aresummarized as follows.CompanyEmployment PlanPrivatePublicAdd Employees3430No Change2134Lay Off Employees1544a. Conduct a test of independence to determine if the employment plan for the next 12 months is independent of the type of company.Compute the value of the x test statistic (to 2 decimals).Use Table 3 of Appendix B to find the p-value.The p-value is- Select your answer -At a 0.05 level of significance, what is your conclusion?V - Select your answer -the employment plan is not independent of the type ofcompany.Cannot concludeConcludeces in the employment plans for private and public companies over the next 12 months.- Select your answer -companies are more likely to add employees.- Select your answer -companies are more likely to lay off employees.% of privatecompanies plan on adding employees.% of public companies plan to lay off employees. (to 1 decimal)

Given : Observed frequencies. Private Public Total Add employees 34 30 64 No Change…

Answered: A Deloitte employment survey asked a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

1. Determine the independent variable in this research scenario: Dr. Eglovitch wants to know whether type of exercise, running or yoga, improves postpartum depression. One hundred women are recruited from obstetricians’ offices in the Richmond area. Group of answer choices A. Postpartum depression B. 100 postpartum women in the sample C. Type of exercise D. All postpartum women
A campus researcher wanted to investigate the factors that affect visitor travel time in a complex, multilevel building on campus. Specifically, he wanted to determine whether different building signs (building maps versus wall signage) affect the total amount of time visitors require to reach their destination and whether that time depends on whether the starting location is inside or outside the building. Three subjects were assigned to each of the combinations of signs and starting locations, and travel time in seconds from beginning to destination was recorded. How should the data be analyzed? Wall Signs Map Starting Room Interior 141, 119, 238 85, 94, 126 Randomized block design O Completely randomized design 2 x 2 factorial design Levene's test Exterior 224, 339, 139 226, 129, 130
1) The question screenshot has been attached down below.
You are analyzing salaries for your organization and you are trying to determine which variables are explaining differences in salaries. You are also wondering if there could possibly be any gender discrimination. The following data have been collected on every employee in this large department in the organization. The definitions of the variables are as follows: Salary: the employees’ bi weekly salary in dollars; Service: the number of months the employee has been employed by the organization; Age: age of the employee in years; Gender: whether the employee is male or female; Job; whether the job is technical (tech) or clerical (cler). The data appear below. Salary Service Age Gender Job 1769 93 42 male cler 1740 104 33 male cler 1941 104 42 male tech 2367 126 57 male tech 2467 98 30 male tech 1640 99 49 male tech 1756 94 35 male cler 1706 96 46 female…
1 2 3 4 5 6 7 8 9 _0 1 2 3 _4 5 6 _7 8 9 20 21 22 23 24 25 26 27 28 29 30 31 52 53 4 35 36 37 38 39 10 11 12 13 14 15 16 47 18 19 50 51 52 53 54 A Income ($1000s) 54 30 32 50 31 55 37 40 66 51 25 48 27 33 65 63 42 21 44 37 62 21 55 42 41 54 30 48 34 67 50 67 55 52 62 64 22 29 39 35 39 54 23 27 26 61 30 22 46 66 B Household Size 3 2 4 5 2 2 1 2 4 3 3 4 1 2 3 4 6 2 1 5 6 3 7 2 7 6 1 2 5 4 2 5 6 2 3 2 3 4 2 1 4 3 6 2 7 2 AUANN 2 4 5 4 с Amount Charged ($) 4,016 3,159 5,100 4,742 1,864 4,070 2,731 3,348 4,764 4,110 4,208 4,219 2,477 2,514 4,214 4,965 4,412 2,448 2,995 4,171 5,678 3,623 5,301 3,020 4,828 5,573 2,583 3,866 3,586 5,037 3,605 5,345 5,370 3,890 4,705 4,157 3,579 3,890 2,972 3,121 4,183 3,730 4,127 2,921 4,603 4,273 3,067 3,074 4,820 5,149 D E F G H I J K
A problem with a phone line that prevents a customer from receiving or making calls is upsetting to both the customer and the telecommunications company. The file “Phone” contains samples of 20 problems reported to two different offices of a telecommunications company and the time toclear these problems (in minutes) from the customers’ lines: Central Office I Time to Clear Problems (minutes) 1.48 1.75 0.78 2.85 0.52 1.60 4.15 3.97 1.48 3.10 1.02 0.53 0.93 1.60 0.80 1.05 6.32 3.93 5.45 0.97 Central Office II Time to Clear Problems (minutes) 7.55 3.75 0.10 1.10 0.60 0.52 3.30 2.10 0.58 4.02 3.75 0.65 1.92 0.60 1.53 4.23 0.08 1.48 1.65 0.72 Assuming that the population variances from both offices are not equal, is there evidence of a difference in the mean waiting time between two offices? (Use a = 0.01) ▪ You may need to download file “Phone”. Referring to Table 10-2, which of the following is an appropriate null hypothesis? Question 2 options: 1)…
The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains (Consumer Reports website). One of the variables in the study is meal price, the average amount paid per person for dinner and drinks, minus the tip. Suppose a reporter for the Sun Coast Times thought that it would be of interest to her readers to conduct a similar study for restaurants located on the Grand Strand section in Myrtle Beach, South Carolina. The reporter selected a sample of 8 seafood restaurants, 8 Italian restaurants, and 8 steakhouses. The following data show the meal prices ($) obtained for the 24 restaurants sampled. Use a = 0.05 to test whether there is a significant difference among the mean meal price for the three types of restaurants. Please answer the questions in the image.
Read the scenario below to determine which one of the three factors that influence reliability (instrument, group, test administration) is of most concern to the scenario. A, multiple-choice test is developed for use as an end-of-course examination. The students taking the end-of-course exam have very little experience with a multiple-choice exam. The students struggle to understand and complete the items in the allotted time period.
Last fall a college installed a new email system and conducted a series of training sessions to teach students and staff how to use the system. In the spring semester, the college used a survey to determine the level of satisfaction with the new system. In addition to measuring satisfaction, the survey asked whether or not each individual had attended a training session. The results of the survey are as follows: VERY SATISFIED SOMEWHAT SATISFIED SOMEWHAT DISSATISFIED VERY DISSATISFIED ATTENDED TRAINING 15 35 5 5 DID NOT ATTEND 5 45 35 15 In doing a chi-square test to determine if a person's level of satisfaction depends on whether they attended the training, what is the expected frequency for people who attended the training and are "somewhat satisfied" with the system? a) 25 b) 30 c) 35 d) 40
Please answer and assist on questions J, K, L Thank you.
In the 2014-2015 academic year, many public universities in the United States raised tuition and fees due to a decrease in state subsidies. The change in the cost of tuition, a shared dormitory room, and the most popular meal plan from the 2014- 2015 academic year for a sample of 10 public universities were as follows: $1589, $593, $1223, $869, $423, $1720, $708, $1425, $922 and $308. Run the descriptive statistic measures for this data set and interpret the results for the following concepts:
A study investigated the relationship between audit delay and variables that describe the client and the auditor. The file Audit contains data from a sample of 40 companies on the following set of variables: Delay: The length of time from a company's fiscal year-end to the date of the auditor's report. Industry: A dummy variable coded 1 if the firm was an industrial company or 0 if the firm was a bank, savings and loan, or insurance company. Public: A dummy variable coded 1 if the company was traded on an organized exchange or over the counter; otherwise coded 0. Quality: A measure of overall quality of internal controls, as judged by the auditor, on a five-point scale ranging from "virtually none" (1) to "excellent" (5). Finished: A measure ranging from 1 to 4, as judged by the auditor, where 1 indicates "all work performed subsequent to year-end" and indicates 4 "most work performed prior to year-end." Click on the datafile logo to reference the data. Consider a model in which…

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS