Do the poor spend more time in the shower than the rich? The results of a survey asking poor and rich people how many minutes they spend in the shower are shown below.Poor 13 38 36 16 22 36 37 9 12 34 38Rich: 5 4 17 15 2 23 20 21 4 11 24 7 22Assume both follow a Normal distribution. What can be concluded at the the αα = 0.05 level of significance level of significance?The test statistic 3.033 Incorrect (Round intermediate statistics to 1 decimal place. Please show your test statistic to 3 decimal places.) The p-value = 0.0037Incorrect (Note: If you do not have a Ti-83/84, then please use the Google Sheet function =TDIST(abs(Test Stat),degrees of freedom, tails), where tails is equal to 1 or 2 depending on the test, to report the answer accurate to four decimal places. Use the rounded test statistic value.)

The data shows the number of minutes spend in the shower for poor and rich people.

Answered: Do the poor spend more time in the…

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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Do the poor spend more time in the shower than the rich? The results of a survey asking poor and rich people how many minutes they spend in the shower are shown below.

Poor 13 38 36 16 22 36 37 9 12 34 38

Rich: 5 4 17 15 2 23 20 21 4 11 24 7 22

Assume both follow a Normal distribution. What can be concluded at the the αα = 0.05 level of significance level of significance?

The test statistic 3.033 Incorrect (Round intermediate statistics to 1 decimal place. Please show your test statistic to 3 decimal places.)

The p-value = 0.0037Incorrect (Note: If you do not have a Ti-83/84, then please use the Google Sheet function =TDIST(abs(Test Stat),degrees of freedom, tails), where tails is equal to 1 or 2 depending on the test, to report the answer accurate to four decimal places. Use the rounded test statistic value.)

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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