## Hypothesis Testing for Los Angeles Commute Times**Objective:** The objective is to test the claim that a sample of 200 Los Angeles commute times is from a population with a standard deviation equal to 24 minutes. To do this, we will use a parametric test with a 0.10 significance level. Additionally, we will determine whether the distribution of 200 Los Angeles commute times satisfies the requirements for this hypothesis test.**Procedure:**1. **View Data:** Click the icon provided to view the 200 Los Angeles commute times. 2. **Notation:** - Let $ \sigma $ denote the population standard deviation of Los Angeles commute times (in minutes). 3. **Hypotheses:** - **Null Hypothesis ($ H_0 $):** The population standard deviation of Los Angeles commute times is 24 minutes. - **Alternative Hypothesis ($ H_1 $):** The population standard deviation of Los Angeles commute times is not 24 minutes.4. **Mathematical Representation:** - $ H_0 : \sigma = 24 $ - $ H_1 : \sigma \neq 24 $5. **Steps to Follow:** - Use the data given in the accompanying file to perform the hypothesis test. - Ensure the sample data satisfies the necessary requirements for parametric testing. - Use the significance level ($ \alpha $) of 0.10.**User Instructions:**- Select the appropriate values in the dropdown menus for the null and alternative hypotheses.- Enter the numeric values as integers or decimals without rounding them off.Communicating clearly the statistical test parameters and ensuring proper understanding of the testing hypothesis help evaluate the claim regarding the population standard deviation accurately. Please proceed by viewing the provided data and defining the hypotheses accordingly.

Sample size n =200Population standard deviation =24

Answered: se the accompanying 200 Los Angeles…

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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Which is cheaper: eating out or dining in? The mean cost of a steak, salad, and rice bought at the grocery store is $13.04. A sample of 30 neighborhood restaurants showed a mean price of $12.15 and a standard deviation of $2 for a comparable restaurant meal. 1.1) Develop appropriate hypotheses for a test to determine whether the sample data support the conclusion that the mean cost of a restaurant meal is less than $13.04. 1.2) At alpha = 0.05, what is your conclusion? Show a detailed solution to support your conclusion. (Find p-values at: https://www.socscistatistics.com/pvalues/tdistribution.aspx)
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