Essentials Of Statistics For Business & Economics
9th Edition
ISBN: 9780357045435
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: South-Western College Pub
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Textbook Question
Chapter 11, Problem 33SE
Weekly Cost Reporting. Stable cost reporting in a manufacturing setting is typically a sign that operations are running smoothly. The accounting department at Rockwell Collins, an avionics manufacturer, analyzes the variance of the weekly costs reported by two of its 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 to conclude that the two production departments differ in terms of weekly cost variance? Use α = .10.
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Chapter 11 Solutions
Essentials Of Statistics For Business & Economics
Ch. 11.1 - 1. Find the following chi-square distribution...Ch. 11.1 - Prob. 2ECh. 11.1 - A sample of 16 items provides a sample standard...Ch. 11.1 - Package Delivery by Drones. Amazon.com is testing...Ch. 11.1 - College Basketball Coaches’ Salaries. In 2018,...Ch. 11.1 - Volatility of General Electric Stock. To analyze...Ch. 11.1 - Halloween Spending. In 2017, Americans spent a...Ch. 11.1 - Variability in Daily Change in Stock Price....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 - Find the following F distribution values from...Ch. 11.2 - A sample of 16 items from population 1 has a...Ch. 11.2 - Prob. 15ECh. 11.2 - Comparing Risk of Mutual Funds. Investors commonly...Ch. 11.2 - Repair Costs as Automobiles Age. In its 2016 Auto...Ch. 11.2 - Prob. 18ECh. 11.2 - Prob. 19ECh. 11.2 - Prob. 20ECh. 11.2 - Smartphone Battery Life. Battery life is an...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 - Count Chocula Cereal. Filling boxes with...Ch. 11 - OrderUp Food Delivery. OrderUp is a service that...Ch. 11 - Daily Patient Volume at Dental Clinic. A sample of...Ch. 11 - A sample standard deviation for the number of...Ch. 11 - Golf Scores. Is there any difference in the...Ch. 11 - Grade Point Average Comparison. The grade point...Ch. 11 - Weekly Cost Reporting. Stable cost reporting in a...Ch. 11 - Lean Process Improvement at the New York City Food...Ch. 11 - An Air Force introductory course in electronics...Ch. 11 - Meticulous Drill Reamer (MDR) specializes in...
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
Post-hoc tests are necessary for an analysis of variance comparing only two treatment conditions.
t or f
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You 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.
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A 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.
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a) state null and alternate hypothesis
b) what is the critical value
c) what is the obtained value
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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…
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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- 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.
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There must be homoscedasticity of residuals (equal error variances).
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Leavers Stayers
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