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It currently takes users a mean of 16 minutes to install the most popular computer program made by RodeTech, a software design company. After changes have been made to the program, the company executives want to know if the new mean is now different from 16 minutes so that they can change their advertising accordingly. A simple random sample of 37 new customers are asked to time how long it takes for them to install the software. The sample mean is 17.1 minutes with a standard deviation of 3.6 minutes. Perform a hypothesis test at the 0.005 level of significance to see if the mean installation time has changed. Step 3 of 3: Draw a conclusion and interpret the decision. Answer 田 Tables 围 Keypad Keyboard Shortcuts We fail to reject the null hypothesis and conclude that there is sufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising. We reject the null hypothesis and conclude that there is-sufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising. We reject the null hypothesis and conclude that there is insufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising. We fail to reject the null hypothesis and conclude that there is insufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising.

It currently takes users a mean of 16 minutes to install the most popular computer program made by RodeTech, a software design company. After changes have been made to the program, the company executives want to know if the new mean is now different from 16 minutes so that they can change their advertising accordingly. A simple random sample of 37 new customers are asked to time how long it takes for them to install the software. The sample mean is 17.1 minutes with a standard deviation of 3.6 minutes. Perform a hypothesis test at the 0.005 level of significance to see if the mean installation time has changed. Step 3 of 3: Draw a conclusion and interpret the decision. Answer 田 Tables 围 Keypad Keyboard Shortcuts We fail to reject the null hypothesis and conclude that there is sufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising. We reject the null hypothesis and conclude that there is-sufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising. We reject the null hypothesis and conclude that there is insufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising. We fail to reject the null hypothesis and conclude that there is insufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising.

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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It currently takes users a mean of 16 minutes to install the most popular computer program made by RodeTech, a software design company. After changes have been made to the program, the company executives want to know if the new mean is now different from 16 minutes so that they can change their advertising accordingly. A simple random sample of 37 new customers are asked to time how long it takes for them to install the software. The sample mean is 17.1 minutes with a standard deviation of 3.6 minutes. Perform a hypothesis test at the 0.005 level of significance to see if the mean installation time has changed. Step 3 of 3: Draw a conclusion and interpret the decision. Answer 田 Tables 围 Keypad Keyboard Shortcuts We fail to reject the null hypothesis and conclude that there is sufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising. We reject the null hypothesis and conclude that there is-sufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising. We reject the null hypothesis and conclude that there is insufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising. We fail to reject the null hypothesis and conclude that there is insufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising.
Transcribed Image Text:It currently takes users a mean of 16 minutes to install the most popular computer program made by RodeTech, a software design company. After changes have been made to the program, the company executives want to know if the new mean is now different from 16 minutes so that they can change their advertising accordingly. A simple random sample of 37 new customers are asked to time how long it takes for them to install the software. The sample mean is 17.1 minutes with a standard deviation of 3.6 minutes. Perform a hypothesis test at the 0.005 level of significance to see if the mean installation time has changed. Step 3 of 3: Draw a conclusion and interpret the decision. Answer 田 Tables 围 Keypad Keyboard Shortcuts We fail to reject the null hypothesis and conclude that there is sufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising. We reject the null hypothesis and conclude that there is-sufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising. We reject the null hypothesis and conclude that there is insufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising. We fail to reject the null hypothesis and conclude that there is insufficient evidence at a 0.005 level of significance that the new mean installation time is different from 16 minutes and that RodeTech may need to change their advertising.
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