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Suppose an outboard motor factory is known to have an output of 1000 motors per day, with a standard deviation of 50 motors per day. The company has hired a new foreman, and want to see whether his presence increases productivity during his first week on the job. Formulate this as a hypothesis test, state any assumptions you make about the distributions of the data. What is the critical region for a level a = .05 test? What is the power of the test if the foreman actually increases productivity by 30 motors per day?

Suppose an outboard motor factory is known to have an output of 1000 motors per day, with a standard deviation of 50 motors per day. The company has hired a new foreman, and want to see whether his presence increases productivity during his first week on the job. Formulate this as a hypothesis test, state any assumptions you make about the distributions of the data. What is the critical region for a level a = .05 test? What is the power of the test if the foreman actually increases productivity by 30 motors per day?

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
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Suppose an outboard motor factory is known to have an output of 1000 motors per day, with a standard deviation of 50 motors per day. The company has hired a new foreman, and want to see whether his presence increases productivity during his first week on the job. Formulate this as a hypothesis test, state any assumptions you make about the distributions of the data. What is the critical region for a level a = .05 test? What is the power of the test if the foreman actually increases productivity by 30 motors per day?
Transcribed Image Text:Suppose an outboard motor factory is known to have an output of 1000 motors per day, with a standard deviation of 50 motors per day. The company has hired a new foreman, and want to see whether his presence increases productivity during his first week on the job. Formulate this as a hypothesis test, state any assumptions you make about the distributions of the data. What is the critical region for a level a = .05 test? What is the power of the test if the foreman actually increases productivity by 30 motors per day?
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