An insurance executive asserts that the mean amount paid by his firm for personal injury resulting from personal accidents is P18,500. An actuary wants to check the accuracy of this assertion and is allowed to sample randomly 36 cases involving personal injury. The sample mean is P19,415. Assuming that o = P2,600, test the executive belief with level of significance of 0.05.
An insurance executive asserts that the mean amount paid by his firm for personal injury resulting from personal accidents is P18,500. An actuary wants to check the accuracy of this assertion and is allowed to sample randomly 36 cases involving personal injury. The sample mean is P19,415. Assuming that o = P2,600, test the executive belief with level of significance of 0.05.
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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![An insurance executive asserts that the
mean amount paid by his firm for personal
injury resulting from personal accidents is
P18,500. An actuary wants to check the
accuracy of this assertion and is allowed to
sample randomly 36 cases involving
personal injury. The sample mean is
P19,415. Assuming that o = P2,600, test
the executive belief with level of
significance of 0.05.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdba100d8-ee81-4676-91a4-e53aa01f96c0%2F816aa117-6938-421f-bec6-39d88b6c5e6c%2Fh03bpe6_processed.png&w=3840&q=75)
Transcribed Image Text:An insurance executive asserts that the
mean amount paid by his firm for personal
injury resulting from personal accidents is
P18,500. An actuary wants to check the
accuracy of this assertion and is allowed to
sample randomly 36 cases involving
personal injury. The sample mean is
P19,415. Assuming that o = P2,600, test
the executive belief with level of
significance of 0.05.
![The production manager of a fruits canning
factory begins to suspect that, as a result of
observing the machine operators, the 16 oz.
can of fruits may be slightly filled beyond
the required weight. He takes a random
sample of 80 packed cans and finds that the
mean weight is 16.08 oz. with a standard
deviation of 0.04 oz. At 1% Level of
Significance, can the production manager
conclude that the fruit cans were being
overfilled?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdba100d8-ee81-4676-91a4-e53aa01f96c0%2F816aa117-6938-421f-bec6-39d88b6c5e6c%2Ftl5e75_processed.png&w=3840&q=75)
Transcribed Image Text:The production manager of a fruits canning
factory begins to suspect that, as a result of
observing the machine operators, the 16 oz.
can of fruits may be slightly filled beyond
the required weight. He takes a random
sample of 80 packed cans and finds that the
mean weight is 16.08 oz. with a standard
deviation of 0.04 oz. At 1% Level of
Significance, can the production manager
conclude that the fruit cans were being
overfilled?
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