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Suppose a real estate agent is interested in comparing the asking prices of condos in Montreal and Halifax. The agent conducts a small telephone survey in the two cities, asking the condo prices. A random sample of 21 listings in Montrea resulted in a sample average price of $328,000, with a standard deviation of $15,000. A random sample of 26 listings in Halifax resulted in a sample average price of $332,000, with a standard deviation of $13,800. The agent assumes condo prices are normally distributed and the variance in prices in the two cities is about the same. What would he obtain for a 90% confidence interval for the difference in mean condo prices between Montreal and Halifax? Test whether there is any difference in the mean prices of single-family homes of the two cities for a = 0.10. %3D (Round your answers to 2 decimal places, e.g. 0.75.) Since zero : into the 90% confidence interval, we can state at a = 0.10 that there : in the mean prices.

Suppose a real estate agent is interested in comparing the asking prices of condos in Montreal and Halifax. The agent conducts a small telephone survey in the two cities, asking the condo prices. A random sample of 21 listings in Montrea resulted in a sample average price of $328,000, with a standard deviation of $15,000. A random sample of 26 listings in Halifax resulted in a sample average price of $332,000, with a standard deviation of $13,800. The agent assumes condo prices are normally distributed and the variance in prices in the two cities is about the same. What would he obtain for a 90% confidence interval for the difference in mean condo prices between Montreal and Halifax? Test whether there is any difference in the mean prices of single-family homes of the two cities for a = 0.10. %3D (Round your answers to 2 decimal places, e.g. 0.75.) Since zero : into the 90% confidence interval, we can state at a = 0.10 that there : in the mean prices.

MATLAB: An Introduction with Applications
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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Suppose a real estate agent is interested in comparing the asking prices of condos in Montreal and Halifax. The agent conducts a small telephone survey in the two cities, asking the condo prices. A random sample of 21 listings in Montreal resulted in a sample average price of $328,000, with a standard deviation of $15,000. A random sample of 26 listings in Halifax resulted in a sample average price of $332,000, with a standard deviation of $13,800. The agent assumes condo prices are normally distributed and the variance in prices in the two cities is about the same. What would he obtain for a 90% confidence interval for the difference in mean condo prices between Montreal and Halifax? Test whether there is any difference in the mean prices of single-family homes of the two cities for a = 0.10. (Round your answers to 2 decimal places, e.g. 0.75.) SH1-H25 Since zero * into the 90% confidence interval, we can state at a = 0.10 that there * in the mean prices.
Transcribed Image Text:Suppose a real estate agent is interested in comparing the asking prices of condos in Montreal and Halifax. The agent conducts a small telephone survey in the two cities, asking the condo prices. A random sample of 21 listings in Montreal resulted in a sample average price of $328,000, with a standard deviation of $15,000. A random sample of 26 listings in Halifax resulted in a sample average price of $332,000, with a standard deviation of $13,800. The agent assumes condo prices are normally distributed and the variance in prices in the two cities is about the same. What would he obtain for a 90% confidence interval for the difference in mean condo prices between Montreal and Halifax? Test whether there is any difference in the mean prices of single-family homes of the two cities for a = 0.10. (Round your answers to 2 decimal places, e.g. 0.75.) SH1-H25 Since zero * into the 90% confidence interval, we can state at a = 0.10 that there * in the mean prices.
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