gets better gas mileage than its competitor's SUV. A random sample of 36 of its SUVs has a mean gas mileage of 12.9 miles per gallon (mpg). The population standard deviation is known to be 0.6mpg . A random sample of 43 competitor's SUVs has a mean gas mileage of 12.7mpg . The population standard deviation for the competitor is known to be 0.3mpg . Test the company's claim at the 0.02 level of significance. Let the car company's SUVs be Population 1 and let the competitor's SUVs be Population 2. Step 2 of 3: Compute the value of the test statistic. Round your answer to two
gets better gas mileage than its competitor's SUV. A random sample of 36 of its SUVs has a mean gas mileage of 12.9 miles per gallon (mpg). The population standard deviation is known to be 0.6mpg . A random sample of 43 competitor's SUVs has a mean gas mileage of 12.7mpg . The population standard deviation for the competitor is known to be 0.3mpg . Test the company's claim at the 0.02 level of significance. Let the car company's SUVs be Population 1 and let the competitor's SUVs be Population 2. Step 2 of 3: Compute the value of the test statistic. Round your answer to two
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 car company claims that its new SUV gets better gas mileage than its competitor's SUV. A random sample of 36 of its SUVs has a mean gas mileage of 12.9 miles per gallon (mpg). The population standard deviation is known to be
0.6mpg
. A random sample of 43 competitor's SUVs has a mean gas mileage of
12.7mpg
. The population standard deviation for the competitor is known to be
0.3mpg
. Test the company's claim at the 0.02 level of significance. Let the car company's SUVs be Population 1 and let the competitor's SUVs be Population 2. Step 2 of 3: Compute the value of the test statistic. Round your answer to two decimal places.
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