RightAid Inc. operates a regional chain of 120 pharmacies. Each pharmacy's floor plan includes a greeting card department which isrelatively isolated. Cathy Eng, Marketing Manager, feels that the level of lighting in the greeting card department may affect sales inthat department. She chooses three levels of lighting (soft, medium, and bright) and randomly assigns six pharmacies to each lightinglevel. Analysis of Cathy's data yielded the following ANOVA table:Source of VariationTreatmentErrorTotalO 1.000SS1.9911O 0.50220.1333O 7.50003608.33313591.67Using a = 0.05, the observed F value is17200df21517MS1804.167906.1111F

Answered: RightAid Inc. operates a regional chain…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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RightAid Inc. operates a regional chain of 120 pharmacies. Each pharmacy's floor plan includes a greeting card department which is relatively isolated. Cathy Eng, Marketing Manager, feels that the level of lighting in the greeting card department may affect sales in that department. She chooses three levels of lighting (soft, medium, and bright) and randomly assigns six pharmacies to each lighting level. Analysis of Cathy's data yielded the following ANOVA table: Source of Variation Treatment Error Total SS 49411.11 35529.17 84940.28 df 2 15 17 Using a = 0.05, the appropriate decision is MS 24705.56 2368.611 reject the null hypothesis μ₁ #2 #H3 do not reject the null hypothesis H₁ H2 H3 do not reject the null hypothesis µ1 ≥ H2 ≥ H3 reject the null hypothesis M₁ = M2 = μ3 O inconclusive F 10.4304
Almost all companies utilize some type of year-end performance review for their employees. Human Resources (HR) at a university's Health Science Center provides guidelines for supervisors rating their subordinates. For example, raters are advised to examine their ratings for a tendency to be either too lenient or too harsh. According to HR, "if you have this tendency, consider using a normal distribution—10%of employees (rated) exemplary, 20% distinguished, 40% competent, 20% marginal, and 10% unacceptable." Suppose you are rating an employee's performance on a scale of 1 (lowest) to 100 (highest). Also, assume the ratings follow a normal distribution with a mean of 54 and a standard deviation of 14. Complete parts a and b. a. What is the lowest rating you should give to an "exemplary" employee if you follow the university's HR guidelines? (Round to three decimal places as needed.) b. What is the lowest rating you should give to a "competent" employee if…
Consider the following data. Satisfaction level depended on the speed of execution. A portion of the survey results are as follows: Brokerage Satisfaction Speed Scottrade, Inc. 3.5 3.4 Charles Schwab 3.4 3.3 Fidelity Brokerage Services 3.9 3.4 TD Ameritrade 3.7 3.6 USAA Brokerage Services 2.9 3.22 | Page Vanguard Brokerage Services 2.6 2.6 Wells Fargo Investments 4.0 4.0 i. At the ��= 0.01 level, would you feel comfortable to use the estimated regression equation to relate the speed of execution and satisfaction level? What is your conclusion? (Use p-vale approach) ii. Estimate the 98% confidence interval for speed of execution
Almost all companies utilize some type of year-end performance review for their employees. Human Resources (HR) at a university's Health Science Center provides guidelines for supervisors rating their subordinates. For example, raters are advised to examine their ratings for a tendency to be either too lenient or too harsh. According to HR, "if you have this tendency, consider using a normal distribution—10% of employees (rated) exemplary, 20% distinguished, 40% competent, 20% marginal, and 10% unacceptable." Suppose you are rating an employee's performance on a scale of 1 (lowest) to 100 (highest). Also, assume the ratings follow a normal distribution with a mean of 45 and a standard deviation of 13. What is the lowest rating you should give to a "competent" employee if you follow the university's guidelines?
2. Interpret this data.
The provided table shows the in-state undergraduate tuition in 2014 and 2018 for 33 public universities.Virginia's data was identified as an unusual observation. Remove it from the dataset before performing the following analysis.Year2014Year2018Year2014Year2018Year2014Year2018UniversityUniversityUniversityPenn State17,50218,454Ohio State10,03710,726Texas979810,606Pittsburgh17,77219,080Virginia12,99817,564Nebraska80709154Michigan13,48615,262Cal-Davis15,58914,463lowa80799267Rutgers14,29714,974Cal-Berkeley12,97214,184Colorado10,78912,532Michigan StateCal-Irvine14,75715,614Iowa State7731898813,81314,460Purdue10,0029992North Carolina83468987Maryland942710,595Illinois15,02015,094Cal-San Diego13,45614.199Kansas10,44811,148Minnesota13,62614,693Oregon991811.898Arizona10,95712,487Missouri11,02112,055Wisconsin10,41010,555Florida63136381Buffalo887110,099Washington12,39411,517Georgia Tech11,39412,424Indiana10,38810,681UCLA13,02913,774Texas A&M917910,968Click to download the data in your…
I want to assess the effects of diet (control diet, high-sugar diet, high-fat diet) and exercise (no voluntary running wheel, voluntary running wheel) on time spent in a target quadrant (more time indicates better memory). I record the percent time spent in a target quadrant for 30 mice and obtain the following data: Control Diet High-sugar Diet High-fat diet No running wheel 15, 28, 29, 30, 25 24, 20, 30, 32, 20 19, 23, 22, 23, 25 Running wheel 30, 34, 35, 44, 32 21, 22, 28, 26, 29 30, 32, 28, 19, 26 What type of factorial design is this? (ex: # x #) ______________ What is the critical F value you’ll be making a decision based on (assume alpha = .05)? Diet: ____ Exercise: _____ Interaction: ______
ShopEasy Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Larson Brown, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (neon, old world and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Larson's data yielded the following ANOVA table: Source of Variation Between Groups Within Groups Total SS 19.43 2.85 O 3.68 O 19.45 O 3.57 df 68102.33 2 34051.17 Using a = 0.05, the critical F value is MS 29177.67 15 1945.178 97280 17 F
The Wall Street Journal asked Concur Technologies, Inc., an expense management company, to examine data from 8.3 million expense reports to provide insights regarding business travel expenses. Their analysis of the data showed that New York was the most expensive city. The following table shows the average daily hotel room rate (*) and the average amount spent on entertainment (y) for a random sample of 9 of the 25 most-visited U.S. cities. These data lead to the estimated regression equation ŷ = 17.49 +1.0334x. For these data SSE = 1541.4. Click on the datafile logo to reference the data. Use Table 1 of Appendix B. DATA file City Boston Denver Nashville New Orleans Phoenix San Diego San Francisco San Jose Room Rate ($) 148 96 91 110 90 102 136 90 82 Tampa a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals). $ Entertainment ($) 161 105 101 142 ***** b. Develop a 95% confidence interval for the mean amount spent on…

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