Consider an. netigator was interested in the average price of a house in a certain region. They collect a sample of 9 houses and record the price which result in the following data set: 153000, 146000, 132000, 164000, 172000, 159000, 149000, 166000, 161000 a) Evaluate the data to determine if there is evidence that the data is normally distributed. State your conclusion and explain the reasoning behind how you made that conclusion. b) Using the formula from class, calculate a 90% confidence interval for the population mean price in that region. Show your work. c) Verify the result you calculated in part b using R. Include your R code and output.
Consider an. netigator was interested in the average price of a house in a certain region. They collect a sample of 9 houses and record the price which result in the following data set: 153000, 146000, 132000, 164000, 172000, 159000, 149000, 166000, 161000 a) Evaluate the data to determine if there is evidence that the data is normally distributed. State your conclusion and explain the reasoning behind how you made that conclusion. b) Using the formula from class, calculate a 90% confidence interval for the population mean price in that region. Show your work. c) Verify the result you calculated in part b using R. Include your R code and output.
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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Transcribed Image Text:Consider an . netigator was interested in the average price of a house in a certain region. They collect a sample of 9
houses and record the price which result in the following data set:
153000, 146000, 132000, 164000, 172000, 159000, 149000, 166000, 161000
a) Evaluate the data to determine if there is evidence that the data is normally distributed. State your conclusion and
explain the reasoning behind how you made that conclusion.
b) Using the formula from class, calculate a 90% confidence interval for the population mean price in that region. Show
your work.
c) Verify the result you calculated in part b using R. Include your R code and output.
d) Provide the appropriate interpretation for the confidence interval.
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