Q1 (a) An autonomous vehicle test drive results reported failure rate of craches without injuries and measures the impact force. The test of selected car model produces impact forces that are normally distributed with a mean of 30 metric tons and standard deviation of 1.5 metric tons. For a random sample of 3 cars, (i) What is the standard deviation for the sample? (ii) If the car models with crach impact force test higher than 33 metric tons are rejected. Find the percentage of selected car models that will be rejected. Based on central limit theorem, what will be the shape of sampling distribution of the sample mean impact force? Justify your answer.
Q1 (a) An autonomous vehicle test drive results reported failure rate of craches without injuries and measures the impact force. The test of selected car model produces impact forces that are normally distributed with a mean of 30 metric tons and standard deviation of 1.5 metric tons. For a random sample of 3 cars, (i) What is the standard deviation for the sample? (ii) If the car models with crach impact force test higher than 33 metric tons are rejected. Find the percentage of selected car models that will be rejected. Based on central limit theorem, what will be the shape of sampling distribution of the sample mean impact force? Justify your answer.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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![Q1 (a) An autonomous vehicle test drive results reported failure rate of craches without
injuries and measures the impact force. The test of selected car model produces
impact forces that are normally distributed with a mean of 30 metric tons and
standard deviation of 1.5 metric tons. For a random sample of 3 cars,
(1)
What is the standard deviation for the sample?
(ii)
(iii)
If the car models with crach impact force test higher than 33 metric tons are
rejected. Find the percentage of selected car models that will be rejected.
Based on central limit theorem, what will be the shape of sampling
distribution of the sample mean impact force? Justify your answer.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffc6a6333-8e60-4818-a40a-30cea7b1cf7b%2F9f1fbe1d-42a3-4b81-a3ff-37ff001078b2%2Fri1tebp_processed.png&w=3840&q=75)
Transcribed Image Text:Q1 (a) An autonomous vehicle test drive results reported failure rate of craches without
injuries and measures the impact force. The test of selected car model produces
impact forces that are normally distributed with a mean of 30 metric tons and
standard deviation of 1.5 metric tons. For a random sample of 3 cars,
(1)
What is the standard deviation for the sample?
(ii)
(iii)
If the car models with crach impact force test higher than 33 metric tons are
rejected. Find the percentage of selected car models that will be rejected.
Based on central limit theorem, what will be the shape of sampling
distribution of the sample mean impact force? Justify your answer.
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