the number of kms it can travel per litre of petrol, is normally distributed with a mean of 38 km/l and a standard deviation of 1.8 km/l. Suppose that the company samples six cars from the assembly line and tests their milage. (A)What is the distribution of the mean km/l for the sample? Select the correct choice below and fill in any answer boxes for that choice. (Type integers or decimals rounded to two decimal places) A. The sampling distribution of the mean follows a normal distribution with a mean of (???)km/l and a standard deviation of the sample mean(???)km/l. B. The sampling distribution of the mean follows a uniform distribution with a mean of(???)km/l and a standard deviation of the sample mean(???)km/l. C. The sampling distribution of the mean follows an exponential distribution with a mean of(???)km/l and a standard deviation of the sample mean(???)km/l. D. The sampling distribution of the mean follows a different distribution to the three listed above with a mean of(???)km/l and a standard deviation that cannot be determined from the information in the question. (B). The probability that the mean km/l of the sample will be greater than 40km/l is (???) (Round to four decimal places as needed.) c. The probability that the mean km/l of the sample will be less than 36.5 km/l is (???) (Round to four decimal places as needed.

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Description: the number of kms it can travel per litre of petrol, is normally distributed with a mean of 38 km/l and a standard deviation of 1.8 km/l. Suppose that the company samples six cars from the assembly line and tests their milage. (A)What is the distri

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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the number of kms it can travel per litre of petrol, is normally distributed with a mean of 38 km/l and a standard deviation of 1.8 km/l. Suppose that the company samples six cars from the assembly line and tests their milage.

(A)What is the distribution of the mean km/l for the sample? Select the correct choice below and fill in any answer boxes for that choice.

(Type integers or decimals rounded to two decimal places)

The sampling distribution of the mean follows a normal distribution with a mean of (???)km/l and a standard deviation of the sample mean(???)km/l.

The sampling distribution of the mean follows a uniform distribution with a mean of(???)km/l and a standard deviation of the sample mean(???)km/l.

The sampling distribution of the mean follows an exponential distribution with a mean of(???)km/l and a standard deviation of the sample mean(???)km/l.

The sampling distribution of the mean follows a different distribution to the three listed above with a mean of(???)km/l and a standard deviation that cannot be determined from the information in the question.

(B). The probability that the mean km/l of the sample will be greater than 40km/l is (???)

(Round to four decimal places as needed.)

c. The probability that the mean km/l of the sample will be less than 36.5 km/l is (???)

(Round to four decimal places as needed.)

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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