**Chi-Square Distribution in Estimating Confidence Intervals****Objective:** Use the given information to find the number of degrees of freedom, the critical values $ \chi^2_L $ and $ \chi^2_R $, and the confidence interval estimate of $ \sigma $. It is reasonable to assume that a simple random sample has been selected from a population with a normal distribution.**Given:** - Sample context: Nicotine in menthol cigarettes- Confidence level: 98%- Sample size ($ n $): 21- Sample standard deviation ($ s $): 0.26 mg**Instructions:** 1. Click the icon to view the table of Chi-Square critical values.2. Calculate the degrees of freedom: $ df = n - 1 $.---**Input Field:** - $ df = $ [Type a whole number.]**Explanation:** To estimate the population variance and standard deviation, find the degrees of freedom and the corresponding critical values from the Chi-Square distribution table for the given confidence level. This will allow us to calculate the confidence interval for the population standard deviation $ \sigma $. **Note:** The critical values $ \chi^2_L $ and $ \chi^2_R $ are essential in determining the bounds of the confidence interval.

We have given that Sample size n=21 , s= 0.26 , We find 98% confidence interval

Answered: Jse the given information to find the…

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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