Respuesta :
Answer: The p-value is 0.154.
Step-by-step explanation:
Since we have given that
We claim that
Null hypothesis :
[tex]H_0:\mu=20[/tex]
Alternate hypothesis :
[tex]H_1:\mu<20[/tex]
Population mean = 20 hours
Sample mean = 18.5 hours
Sample standard deviation = 4.3 hours
Sample size n = 35
So, test statistic would be
[tex]z=\dfrac{\bar{X}-\mu}{\dfrac{\sigma}{\sqrt{n}}}\\\\z=\dfrac{18.5-20}{\dfrac{4.3}{\sqrt{35}}}\\\\z=\dfrac{-1.5}{0.726}\\\\z=-2.066[/tex]
So, the p value would be 0.154.
Hence, the p-value is 0.154.
Based on the sample size, the sample mean, and the sample standard deviation, the p-value would be 0.0467.
What is the p-value?
First, find the test statistic:
= (Sample mean hours - Null hypothesis) / (Standard deviation / √Sample)
= (18.5 - 20) / (4.3 / √35)
= -2.0637
Using a df = n - 1
= 35 - 1
= 34
And a 2 tail test, we find:
P (t = - 2.0637) x 2
= 2 x 0.02335
= 0.0467
Find out more on the p-value at https://brainly.com/question/4621112.