Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)
6th Edition
ISBN: 9781337115186
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
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Chapter 11, Problem 33SE
To determine
Check whether the sample is sufficient to conclude that the two production departments differ in terms of the unit cost variance.
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the accounting department analyzes the variance of the weekly unit costs reported bytwo production departments. a sample of 16 cost reports for each of the two departments shows cost variances of 2.3 and 5.4, respectively. is this sample sufficient toconclude that the two production departments differ in terms of unit cost variance? usea = .10.
For a marketing class term project, Bob is investigating whether college seniors eat lessfrequently in fast-food chains than college freshmen. He asked 11 freshmen and 11 seniors tokeep track of how many times they ate in a fast-food restaurant during the month of October.Assuming equal variances, can you conclude that the mean is significantly smaller for collegeseniors at the 5 percent level of significance?Seniors Freshmen10 165 919 1615 145 1810 1018 198 1520 97 178 20
The r2represents the shared variance between a predictor and _______
Chapter 11 Solutions
Modern Business Statistics with Microsoft Office Excel (with XLSTAT Education Edition Printed Access Card) (MindTap Course List)
Ch. 11.1 - 1. Find the following chi-square distribution...Ch. 11.1 - 2. A sample of 20 items provides a sample standard...Ch. 11.1 - A sample of 16 items provides a sample standard...Ch. 11.1 - 4. The variance in drug weights is critical in the...Ch. 11.1 - John Calipari, head basketball coach for the 2012...Ch. 11.1 - The Wall Street Journal reported that Americans...Ch. 11.1 - Volatility of General Electric Stock. To analyze...Ch. 11.1 - Consider a day when the Dow Jones Industrial...Ch. 11.1 - Aerospace Part Manufacturing. The competitive...Ch. 11.1 - Costco Customer Satisfaction. Consumer Reports...
Ch. 11.1 - Variability in GMAT Scores. In 2016, the Graduate...Ch. 11.1 - Vehicle Ownership by Fortune Magazine Subscribers....Ch. 11.2 - 13. Find the following F distribution values from...Ch. 11.2 - Prob. 14ECh. 11.2 - Prob. 15ECh. 11.2 - Prob. 16ECh. 11.2 - Repair Costs as Automobiles Age. In its 2016 Auto...Ch. 11.2 - Prob. 18ECh. 11.2 - Bag-Filling Machines at Jelly Belly. The variance...Ch. 11.2 - Prob. 20ECh. 11.2 - Many smartphones, especially those of the...Ch. 11.2 - Prob. 22ECh. 11 - 23. Because of staffing decisions, managers of the...Ch. 11 - Prob. 24SECh. 11 - Business Travel Costs. According to the 2017...Ch. 11 - Manufacture of Ball Bearings. Ball bearing...Ch. 11 - The filling variance for boxes of cereal is...Ch. 11 - City Trucking, Inc., claims consistent delivery...Ch. 11 - Daily Patient Volume at Dental Clinic. A sample of...Ch. 11 - Prob. 30SECh. 11 - Golf Scores. Is there any difference in the...Ch. 11 - Grade Point Average Comparison. The grade point...Ch. 11 - Prob. 33SECh. 11 - Two new assembly methods are tested and the...Ch. 11 - An Air Force introductory course in electronics...Ch. 11 - Meticulous Drill & Reamer (MD&R) specializes in...
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- Post-hoc tests are necessary for an analysis of variance comparing only two treatment conditions. t or farrow_forwardYou are designing a two-arm parallel-groups trial of a new blood pressure-lowering medication compared to an already approved blood pressure-lowering medication (1:1 allocation). The pharmaceutical sponsor is interested in detecting a between-group difference of 6 mmHg in diastolic blood pressure (DBP) at 6 months. (a) The within-person variance in DBP is 36.3 mmHg2, the between-person variance in DBP is 58.4 mmHg2, and the total variance in DBP is 94.7 mmHg2. Which estimate of variability do you need to compute sample size for this trial? (b) How many participants will need to be enrolled? Set power at 90% and (two-sided) type I error at 5%. Be sure to show all steps of your calculations. (If you solve this problem using a formula, be sure to write the formula and identify all of the inputs as well as the result of the calculation. If you solve this problem with an external sample size calculator, be sure to identify the calculator (e.g., an online link), what your inputs were,…arrow_forwardA researcher designed a study to test whether caffeine use enhanced performance time to run a 100 meter sprint. The participants (n=30) ran a 100 meter sprint before the consumption of caffeine on day 1 and then they ran another 100 meter sprint on the following day 2 after ingesting caffeine. The average time taken to run the 100 meter sprint on day 1 was (M1) and the average to run on day 2 after caffeine was (M2). The variance for this study was calculated to be (S2). Does caffeine use improve the running time in the 100 meter sprint (e.g., lower time)? Use all of the data provided to you below and test at an alpha of 0.05. M1 = 26.53M2 = 14.69S2 = 207.75n=30 a) state null and alternate hypothesis b) what is the critical value c) what is the obtained value d) conclusionarrow_forward
- In a production process, the time (in minutes) taken (run time) for a production run and the number of items produced (run size) for 15 randomly selected orders are analyzed using Minitab statistical software. The Minitab output is as follows: Regression Analysis: Run time versus Run size Analysis of Variance Source DF Adj SS Adj MS F-Value Critical value Regression 1 8737.1 8737.1 29.35 ……… Error 13 3870.5 297.7 Total 14 12607.6 Model Summary S R-sq R-sq(adj) R-sq(pred) 17.2549 ……. 66.94% 61.32% Coefficients Term Coef SE Coef T-Value P-Value VIF Constant 148.4 11.3 13.13 0.000 Run size 0.2627 0.0485 ……. ……. 1.00 1- Write down the least square regression equation to predict the run time for run size. 2- Interpret the coefficients of the fitted model. 3- At 5% significance level, test if run size is a good…arrow_forwardIn a production process, the time (in minutes) taken (run time) for a production run and the number of items produced (run size) for 15 randomly selected orders are analyzed using Minitab statistical software. The Minitab output is as follows: Regression Analysis: Run time versus Run size Analysis of Variance Source DF Adj SS Adj MS F-Value Critical value Regression 1 8737.1 8737.1 29.35 ……… Error 13 3870.5 297.7 Total 14 12607.6 Model Summary S R-sq R-sq(adj) R-sq(pred) 17.2549 ……. 66.94% 61.32% Coefficients Term Coef SE Coef T-Value P-Value VIF Constant 148.4 11.3 13.13 0.000 Run size 0.2627 0.0485 ……. ……. 1.00 1- Calculate the coefficient of determination and interpret its meaning in the context of the production process. 2- If in a run 150 items are produced, predict the run time.arrow_forwardDuring a 5-week period in 2007, the stock of an insurance company and the stock of a small tech company showed the following weekly percentage changes.Company Weekly Price Change (%)Insurance Stock 0.3 1.8 0 0. -1.5Tech Stock 0.3 -0.1 1.1 3.2 0.8 Find the variance of the weekly price changes of each. (Round your answers to four decimal places.) insurance stock= tech stock=arrow_forward
- Could you please teel me why should a firm, for profit, care not only about the expected profit, but also about the variance of the profit.thanksarrow_forwardAre these two assumptions met or rejected for the data set shown in the attached image: There must be a linear relationship between (a) the criterion/outcome and each of the predictor variables, and (b) the criterion and predictor variables collectively. There must be homoscedasticity of residuals (equal error variances).arrow_forwardCritically analyze the item total statistics provided in table 1 and suggest how the cronbach’salpha score of the construct can be improved to reach its desired threshold.Table 1 Item Total StatisticsScale Mean if Item DeletedScale Variance if Item DeletedCorrected ItemTotal CorrelationCronbach's Alpha if Item DeletedMotivation_116.691218.700.469.729Motivation_216.572419.179.849.530Motivation_316.514217.590.827.553arrow_forward
- Assume the variance of IBM is .16 and the variance of Microsoft is .25. If the variance of an equallyweighted portfolio of these stocks is .0525, then the covariance between these stock is?arrow_forwardA snow shovel manufacturer is considering a new shovel with small holes punched in it, thought to reduce energy expenditure of the user. The data in the Problem 4 tab provides information for 13 workers using both the conventional shovel and the perforated shovel. Does the data suggest that the energy expenditure of the perforated shovel is lower than that of the conventional shovel? Does the data suggest that the variance of the two shovels is different?arrow_forward4. In a study of women science majors, the following data were obtained on two groups, those who left their profession within a few months after graduation (leavers) and those who remained in their profession after they graduated (stayers). Test the claim that those who stayed had a higher science grade-point average than those who left. Use α = 0.05. Assuming that populations are normally distributed and population variances are equal. Leavers Stayers Sample size = 22 Sample size = 25 Sample SD= .58 Sample SD= 0.52 Sample mean = 3.14 Sample mean = 3.20arrow_forward
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