Homework Help is Here – Start Your Trial Now!
Math
Statistics
Two suppliers manufacture a plastic gear used in a laser printer. The impact strength of these gears measured in foot-pounds is an important characteristic. A random sample of 10 gears from supplier 1 results in ₁ = 290 and s₁ = 12, and another random sample of 16 gears from the second supplier results in x₂ = 321 and s₂ = 22. Construct a 95% confidence interval estimate for the difference in mean impact strength and explain how this interval could be used to answer the question posed regarding supplier-to- supplier differences. Assume that both populations are normally distributed but the variances are not equal (Case 2: o² #02) O a. 17.175 <= u1-u2 <= 44.825. Because zero is not contained in the confidence interval, we conclude that supplier 2 provides gears with a higher mean impact strength than supplier 1 with 95% confidence O b. 17.175 <= u1-u2 <= 44.825. Because zero is not contained in the confidence interval, we conclude that supplier 2 provides gears with a lower mean impact strength than supplier 1 with 99% confidence O c. 17.175 <= u1-u2 <= 44.825. Because zero is contained in the confidence interval, we conclude that supplier 2 provides gears with a higher mean impact strength than supplier 1 with 90% confidence d. None among the choices

Two suppliers manufacture a plastic gear used in a laser printer. The impact strength of these gears measured in foot-pounds is an important characteristic. A random sample of 10 gears from supplier 1 results in ₁ = 290 and s₁ = 12, and another random sample of 16 gears from the second supplier results in x₂ = 321 and s₂ = 22. Construct a 95% confidence interval estimate for the difference in mean impact strength and explain how this interval could be used to answer the question posed regarding supplier-to- supplier differences. Assume that both populations are normally distributed but the variances are not equal (Case 2: o² #02) O a. 17.175 <= u1-u2 <= 44.825. Because zero is not contained in the confidence interval, we conclude that supplier 2 provides gears with a higher mean impact strength than supplier 1 with 95% confidence O b. 17.175 <= u1-u2 <= 44.825. Because zero is not contained in the confidence interval, we conclude that supplier 2 provides gears with a lower mean impact strength than supplier 1 with 99% confidence O c. 17.175 <= u1-u2 <= 44.825. Because zero is contained in the confidence interval, we conclude that supplier 2 provides gears with a higher mean impact strength than supplier 1 with 90% confidence d. None among the choices

MATLAB: An Introduction with Applications
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
icon
Related questions
Question

Need answer and full solution

Two suppliers manufacture a plastic gear used in a laser printer. The impact strength of these gears measured in foot-pounds is an important characteristic. A random sample of 10 gears from supplier 1 results in x₁ = 290 and $₁ 12, and another random sample of 16 gears from the second supplier results in x₂ = 321 and S₂ = 22. Construct a 95% confidence interval estimate for the difference in mean impact strength and explain how this interval could be used to answer the question posed regarding supplier-to- supplier differences. Assume that both populations are normally distributed but the variances are not equal (Case 2: o² # 02) O a. 17.175 <= u1-u2 <= 44.825. Because zero is not contained in the confidence interval, we conclude that supplier 2 provides gears with a higher mean impact strength than supplier 1 with 95% confidence O b. 17.175 <= u1-u2 <= 44.825. Because zero is not contained in the confidence interval, we conclude that supplier 2 provides gears with a lower mean impact strength than supplier 1 with 99% confidence O c. 17.175 <= u1-u2 <= 44.825. Because zero is contained in the confidence interval, we conclude that supplier 2 provides gears with a higher mean impact strength than supplier 1 with 90% confidence O d. None among the choices
Transcribed Image Text:Two suppliers manufacture a plastic gear used in a laser printer. The impact strength of these gears measured in foot-pounds is an important characteristic. A random sample of 10 gears from supplier 1 results in x₁ = 290 and $₁ 12, and another random sample of 16 gears from the second supplier results in x₂ = 321 and S₂ = 22. Construct a 95% confidence interval estimate for the difference in mean impact strength and explain how this interval could be used to answer the question posed regarding supplier-to- supplier differences. Assume that both populations are normally distributed but the variances are not equal (Case 2: o² # 02) O a. 17.175 <= u1-u2 <= 44.825. Because zero is not contained in the confidence interval, we conclude that supplier 2 provides gears with a higher mean impact strength than supplier 1 with 95% confidence O b. 17.175 <= u1-u2 <= 44.825. Because zero is not contained in the confidence interval, we conclude that supplier 2 provides gears with a lower mean impact strength than supplier 1 with 99% confidence O c. 17.175 <= u1-u2 <= 44.825. Because zero is contained in the confidence interval, we conclude that supplier 2 provides gears with a higher mean impact strength than supplier 1 with 90% confidence O d. None among the choices
Expert Solution
steps

Step by step

Solved in 2 steps with 2 images

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
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 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…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
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
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