Homework Help is Here – Start Your Trial Now!
Math
Statistics
Many older homes have electrical systems that use fuses rather than circuit breakers. A manufacturer of 40-amp fuses wants to make sure that the mean amperage at which its fuses burn a is in fact 40. If the mean amperage is lower than 40, customers will complain because the fuses require replacement too often. If the mean amperage is higher than 40, the manufacturer might be liable for damage to an electrical system due to fuse malfunction. To verify the amperage of the fuses, a sample of fuses is to be selected and inspected. If a hypothesis test were to be performed on the resulting data, what null and alternative hypotheses would be of interest to the manufacturer? HoiH > 40 H: µ = 40 o Ho: H = 40 H:u < 40 O Ho: H = 40 H: µ > 40 Ho: H< 40 H:µ = 40 O Ho: H = 40 H: µ # 40 Describe type I error in the context of this problem situation. O A type I error would be declaring a fuse to be satisfactory when in fact it is defective. O A type I error would be declaring a fuse to be satisfactory when in fact it is satisfactory. O A type I error would be declaring a fuse as being defective when in fact there is nothing wrong with the fuse. O A type I error would be declaring a fuse as being defective when in fact the fuse is defective. Describe type II error in the context of this problem situation. O A type II error would be declaring a fuse to be satisfactory when in fact it is defective. O A type II error would be declaring a fuse to be satisfactory when in fact it is satisfactory. O A type II error would be declaring a fuse as being defective when in fact there is nothing wrong with the fuse.

Many older homes have electrical systems that use fuses rather than circuit breakers. A manufacturer of 40-amp fuses wants to make sure that the mean amperage at which its fuses burn a is in fact 40. If the mean amperage is lower than 40, customers will complain because the fuses require replacement too often. If the mean amperage is higher than 40, the manufacturer might be liable for damage to an electrical system due to fuse malfunction. To verify the amperage of the fuses, a sample of fuses is to be selected and inspected. If a hypothesis test were to be performed on the resulting data, what null and alternative hypotheses would be of interest to the manufacturer? HoiH > 40 H: µ = 40 o Ho: H = 40 H:u < 40 O Ho: H = 40 H: µ > 40 Ho: H< 40 H:µ = 40 O Ho: H = 40 H: µ # 40 Describe type I error in the context of this problem situation. O A type I error would be declaring a fuse to be satisfactory when in fact it is defective. O A type I error would be declaring a fuse to be satisfactory when in fact it is satisfactory. O A type I error would be declaring a fuse as being defective when in fact there is nothing wrong with the fuse. O A type I error would be declaring a fuse as being defective when in fact the fuse is defective. Describe type II error in the context of this problem situation. O A type II error would be declaring a fuse to be satisfactory when in fact it is defective. O A type II error would be declaring a fuse to be satisfactory when in fact it is satisfactory. O A type II error would be declaring a fuse as being defective when in fact there is nothing wrong with the fuse.

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
100%
Many older homes have electrical systems that use fuses rather than circuit breakers. A manufacturer of 40-amp fuses wants to make sure that the mean amperage at which its fuses burn ou is in fact 40. If the mean amperage is lower than 40, customers will complain because the fuses require replacement too often. If the mean amperage is higher than 40, the manufacturer might be liable for damage to an electrical system due to fuse malfunction. To verify the amperage of the fuses, a sample of fuses is to be selected and inspected. If a hypothesis test were to be performed on the resulting data, what null and alternative hypotheses would be of interest to the manufacturer? Но: и > 40 H: u = 40 Ho: H = 40 Hai u < 40 HoiH= 40 H: u > 40 Hoiu < 40 Ha: u = 40 HoiH = 40 H: u + 40 Describe type I error in the context of this problem situation. O A type I error would be declaring a fuse to be satisfactory when in fact it is defective. O A type I error would be declaring a fuse to be satisfactory when in fact it is satisfactory. O A type I error would be declaring a fuse as being defective when in fact there is nothing wrong with the fuse. A type I error would be declaring a fuse as being defective when in fact the fuse is defective. Describe type II error in the context of this problem situation. O A type II error would be declaring a fuse to be satisfactory when in fact it is defective. A type II error would be declaring a fuse to be satisfactory when in fact it is satisfactory. A type II error would be declaring a fuse as being defective when in fact there is nothing wrong with the fuse. A type II error would be declaring a fuse as being defective when in fact the fuse is defective.
Transcribed Image Text:Many older homes have electrical systems that use fuses rather than circuit breakers. A manufacturer of 40-amp fuses wants to make sure that the mean amperage at which its fuses burn ou is in fact 40. If the mean amperage is lower than 40, customers will complain because the fuses require replacement too often. If the mean amperage is higher than 40, the manufacturer might be liable for damage to an electrical system due to fuse malfunction. To verify the amperage of the fuses, a sample of fuses is to be selected and inspected. If a hypothesis test were to be performed on the resulting data, what null and alternative hypotheses would be of interest to the manufacturer? Но: и > 40 H: u = 40 Ho: H = 40 Hai u < 40 HoiH= 40 H: u > 40 Hoiu < 40 Ha: u = 40 HoiH = 40 H: u + 40 Describe type I error in the context of this problem situation. O A type I error would be declaring a fuse to be satisfactory when in fact it is defective. O A type I error would be declaring a fuse to be satisfactory when in fact it is satisfactory. O A type I error would be declaring a fuse as being defective when in fact there is nothing wrong with the fuse. A type I error would be declaring a fuse as being defective when in fact the fuse is defective. Describe type II error in the context of this problem situation. O A type II error would be declaring a fuse to be satisfactory when in fact it is defective. A type II error would be declaring a fuse to be satisfactory when in fact it is satisfactory. A type II error would be declaring a fuse as being defective when in fact there is nothing wrong with the fuse. A type II error would be declaring a fuse as being defective when in fact the fuse is defective.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Similar questions
  • SEE MORE QUESTIONS
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