sports car gas mileages: 17 29 15 19 17 23 16 24 26 18 18 28 24 24 19 15 20 22 19 19 21 21 19 15 18 18 16 23 Let σ be the population standard deviation and let n be the sample size. Which distribution should be used to construct the confidence interval? _ be used to construct the confidence interval, since . A. left parenthesis nothing comma nothing right parenthesis, (Round to one decimal place as needed.) B. Neither the standard normal distribution nor the t-distribution can be used to construct the interval. Interpret the results. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. Identify the confidence interval. Select the correct choice below A. ( , ) B. Neither the standard normal distribution nor the t-distribution can be used to construct the interval. Interpret the results. Select the correct choice below A With % confidence, it can be said that the mean gas mileage of all sports cars (in miles per gallon) is between the interval's endpoints. B It can be said that % of all sports cars have a gas mileage (in miles per gallon) that is between the interval's endpoints. (Type an integer or a decimal. Do not round.) C. _% of all random samples of 28 sports cars from the population of all sports cars will have a mean gas mileage (in miles per gallon) that is between the interval's endpoints. (Type an integer or a decimal. Do not round.) D. With __% confidence, it can be said that most sports cars in the population have gas mileages (in miles per gallon) that are between the interval's endpoints. (Type an integer or a decimal. Do not round.) E. Neither the standard normal distribution nor the t-distribution can be used to construct the interval.

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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sports car gas mileages:

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Let σ be the population standard deviation and let n be the sample size. Which distribution should be used to construct the confidence interval?

_______ be used to construct the confidence interval, since ________.

left parenthesis nothing comma nothing right parenthesis,

(Round to one decimal place as needed.)

Neither the standard normal distribution nor the t-distribution can be used to construct the interval.

Interpret the results. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.

Identify the confidence interval. Select the correct choice below

A. ( __,__ )

B. Neither the standard normal distribution nor the t-distribution can be used to construct the interval.

Interpret the results. Select the correct choice below

A With ____% confidence, it can be said that the mean gas mileage of all sports cars (in miles per gallon) is between the interval's endpoints.

B It can be said that ____% of all sports cars have a gas mileage (in miles per gallon) that is between the interval's endpoints.

(Type an integer or a decimal. Do not round.)

C. _____% of all random samples of 28 sports cars from the population of all sports cars will have a mean gas mileage (in miles per gallon) that is between the interval's endpoints. (Type an integer or a decimal. Do not round.)

D. With ____% confidence, it can be said that most sports cars in the population have gas mileages (in miles per gallon) that are between the interval's endpoints. (Type an integer or a decimal. Do not round.)

E. Neither the standard normal distribution nor the t-distribution can be used to construct the interval.

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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