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It currently takes users a mean of 44 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 44 minutes so that they can change their advertising accordingly. A simple random sample of 51 new customers are asked to time how long it takes for them to install the software. The sample mean is 47.8 minutes with a standard deviation of 10.2 minutes. Perform a hypothesis test at the 0.10 level of significance to see if the mean installation time has changed. Step 3 of 3: Draw a conclusion and interpret the decision. Answer Tables Keypad Keyboard Shortcut O We reject the null hypothesis and conclude that there is sufficient evidence at a 0.10 level of significance that the new mean installation time is different from 44 minutes and that RodeTech may need to change their advertising. O We fail to reject the null hypothesis and conclude that there is sufficient evidence at a 0.10 level of significance that the new mean installation time is different from 44 minutes and that RodeTech may need to change their advertising. O We fail to reject the null hypothesis and conclude that there is insufficient evidence at a 0.10 level of significance that the new mean installation time is different from 44 minutes and that RodeTech may need to change their advertising. We reject the null hypothesis and conclude that there is insufficient evidence at a 0.10 level of significance that the new mean installation time is different from 44 minutes and that RodeTech may need to change their advertising.

It currently takes users a mean of 44 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 44 minutes so that they can change their advertising accordingly. A simple random sample of 51 new customers are asked to time how long it takes for them to install the software. The sample mean is 47.8 minutes with a standard deviation of 10.2 minutes. Perform a hypothesis test at the 0.10 level of significance to see if the mean installation time has changed. Step 3 of 3: Draw a conclusion and interpret the decision. Answer Tables Keypad Keyboard Shortcut O We reject the null hypothesis and conclude that there is sufficient evidence at a 0.10 level of significance that the new mean installation time is different from 44 minutes and that RodeTech may need to change their advertising. O We fail to reject the null hypothesis and conclude that there is sufficient evidence at a 0.10 level of significance that the new mean installation time is different from 44 minutes and that RodeTech may need to change their advertising. O We fail to reject the null hypothesis and conclude that there is insufficient evidence at a 0.10 level of significance that the new mean installation time is different from 44 minutes and that RodeTech may need to change their advertising. We reject the null hypothesis and conclude that there is insufficient evidence at a 0.10 level of significance that the new mean installation time is different from 44 minutes and that RodeTech may need to change their advertising.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 10CYU
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It currently takes users a mean of 44 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 44 minutes so that they can change their advertising accordingly. A simple random sample of 51 new customers are asked to time how long it takes for them to install the software. The sample mean is 47.8 minutes with a standard deviation of 10.2 minutes. Perform a hypothesis test at the 0.10 level of significance to see if the mean installation time has changed. Step 3 of 3: Draw a conclusion and interpret the decision. Answer Tables Keypad Keyboard Shortcuts O We reject the null hypothesis and conclude that there is sufficient evidence at a 0.10 level of significance that the new mean installation time is different from 44 minutes and that RodeTech may need to change their advertising. O We fail to reject the null hypothesis and conclude that there is sufficient evidence at a 0.10 level of significance that the new mean installation time is different from 44 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 0.10 level of significance that the new mean installation time is different from 44 minutes and that RodeTech may need to change their advertising. We reject the null hypothesis and conclude that there is insufficient evidence at a 0.10 level of significance that the new mean installation time is different from 44 O minutes and that RodeTech may need to change their advertising.
Transcribed Image Text:It currently takes users a mean of 44 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 44 minutes so that they can change their advertising accordingly. A simple random sample of 51 new customers are asked to time how long it takes for them to install the software. The sample mean is 47.8 minutes with a standard deviation of 10.2 minutes. Perform a hypothesis test at the 0.10 level of significance to see if the mean installation time has changed. Step 3 of 3: Draw a conclusion and interpret the decision. Answer Tables Keypad Keyboard Shortcuts O We reject the null hypothesis and conclude that there is sufficient evidence at a 0.10 level of significance that the new mean installation time is different from 44 minutes and that RodeTech may need to change their advertising. O We fail to reject the null hypothesis and conclude that there is sufficient evidence at a 0.10 level of significance that the new mean installation time is different from 44 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 0.10 level of significance that the new mean installation time is different from 44 minutes and that RodeTech may need to change their advertising. We reject the null hypothesis and conclude that there is insufficient evidence at a 0.10 level of significance that the new mean installation time is different from 44 O minutes and that RodeTech may need to change their advertising.
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