Select the correct answer below: We should reject the null hypothesis because t0<tα/2. So, at the 5% significance level, the data provide sufficient evidence to conclude that the average heights of soccer players is not equal to 76 inches. We should reject the null hypothesis because t0>−tα/2. So, at the 5% significance level, the data provide sufficient evidence to conclude that the average heights of soccer players is not equal to 76 inches. We should reject the null hypothesis because −tα/2<t0<tα/2. So, at the 5% significance level, the data do not provide sufficient evidence to conclude that the average heights of soccer players is not equal to 76 inches. We should not reject the null hypothesis because t0>−tα/2. So, at the 5% significance level, the data do not provide sufficient evidence to conclude that the average heights of soccer players is not equal to 76 inches. We should not reject the null hypothesis because −tα/2<t0<tα/2. So, at the 5% significance level, the data do not provide sufficient evidence to conclude that the average heights of soccer players is not equal to 76 inches. As a part of his studies, William gathered data on the heights of 29 professional soccer players. He works through thetesting procedure:. The test statistic is ț01.284. The critical values are +tAt the 5% significance level, does the data provide sufficient evidence to conclude that the mean heights of soccer players isless than 76 inches?Select the correct answer below:OWe should reject the null hypothesis because to 〈 12. So, at the 5% significance level, the data provide sufficientevidence to conclude that the average heights of soccer players is not equal to 76 inches0we should reject the null hypothesis because to 〉-12. So, at the 5% significance level, the data providesufficient evidence to conclude that the average heights of soccer players is not equal to 76 inches.OWe should reject the null hypothesis because-haprovide sufficient evidence to conclude that the average heights of soccer players is not equal to 76 inches.t0r12. So, at the 5% significance level, the data do not0we should not reject the null hypothesis because o >-r12. So, at the 5% significance level, the data do not

Test hypothesis:Denote the population mean height of soccer players as μ.The hypotheses are given…

Answered: As a part of his studies, William…

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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Select the correct answer below:

We should reject the null hypothesis because t0<tα/2. So, at the 5% significance level, the data provide sufficient evidence to conclude that the average heights of soccer players is not equal to 76 inches.

We should reject the null hypothesis because t0>−tα/2. So, at the 5% significance level, the data provide sufficient evidence to conclude that the average heights of soccer players is not equal to 76 inches.

We should reject the null hypothesis because −tα/2<t0<tα/2. So, at the 5% significance level, the data do not provide sufficient evidence to conclude that the average heights of soccer players is not equal to 76 inches.

We should not reject the null hypothesis because t0>−tα/2. So, at the 5% significance level, the data do not provide sufficient evidence to conclude that the average heights of soccer players is not equal to 76 inches.

We should not reject the null hypothesis because −tα/2<t0<tα/2. So, at the 5% significance level, the data do not provide sufficient evidence to conclude that the average heights of soccer players is not equal to 76 inches.

As a part of his studies, William gathered data on the heights of 29 professional soccer players. He works through the
testing procedure:
. The test statistic is ț0
1.284
. The critical values are +t
At the 5% significance level, does the data provide sufficient evidence to conclude that the mean heights of soccer players is
less than 76 inches?
Select the correct answer below:
O
We should reject the null hypothesis because to 〈 12. So, at the 5% significance level, the data provide sufficient
evidence to conclude that the average heights of soccer players is not equal to 76 inches
0
we should reject the null hypothesis because to 〉-12. So, at the 5% significance level, the data provide
sufficient evidence to conclude that the average heights of soccer players is not equal to 76 inches.
O
We should reject the null hypothesis because-ha
provide sufficient evidence to conclude that the average heights of soccer players is not equal to 76 inches.
t0
r12. So, at the 5% significance level, the data do not
0
we should not reject the null hypothesis because o >-r12. So, at the 5% significance level, the data do not

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