A consumer organization wants to estimate the actual tread wear index of a brand name of tires that claims "graded250"on the sidewall of the tire. A random sample ofn=25indicates a sample mean tread wear index of246.7and a sample standard deviation of26.6.Complete parts (a) through (c).a.Assuming that the population of tread wear indexes is normally distributed, construct a90%confidence interval estimate of the population mean tread wear index for tires produced by this manufacturer under this brand name. nothing≤μ≤nothing(Round to two decimal places as needed.)

We have given that, Sample mean=246.7, Sample Standard deviation =26.6 , Sample size n=25 and…

Answered: A consumer organization wants to…

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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A consumer organization wants to estimate the actual tread wear index of a brand name of tires that claims "graded

250"

on the sidewall of the tire. A random sample of

n=25

indicates a sample mean tread wear index of

246.7

and a sample standard deviation of

26.6.

Complete parts (a) through (c).

a.	Assuming that the population of tread wear indexes is normally distributed, construct a 90% confidence interval estimate of the population mean tread wear index for tires produced by this manufacturer under this brand name.

nothing≤μ≤nothing

(Round to two 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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