Answer:
The P-value you would use to test the claim that the population mean of pencils produced in that factory have a mean length equal to 18.0 cm is 0.00736.
Explanation:
We are given that a quality control specialist at a pencil manufacturer pulls a random sample of 45 pencils from the assembly line.
The pencils have a mean length of 17.9 cm. Given that the population standard deviation is 0.25 cm.
Let
= population mean length of pencils produced in that factory.
So, Null Hypothesis,
:
= 18.0 cm {means that the population mean of pencils produced in that factory have a mean length equal to 18.0 cm}
Alternate Hypothesis,
:
18.0 cm {means that the population mean of pencils produced in that factory have a mean length different from 18.0 cm}
The test statistics that will be used here is One-sample z-test statistics because we know about the population standard deviation;
T.S. =
~ N(0,1)
where,
= sample mean length of pencils = 17.9 cm
= population standard deviation = 0.25 cm
n = sample of pencils = 45
So, the test statistics =
= -2.68
The value of z-test statistics is -2.68.
Now, the P-value of the test statistics is given by;
P-value = P(Z < -2.68) = 1 - P(Z
2.68)
= 1- 0.99632 = 0.00368
For the two-tailed test, the P-value is calculated as = 2
0.00368 = 0.00736.