The operations manager of Slug Computers is considering a new method of assembling its Mollusk Computer. The present method requires 42.3 minutes, on average to assemble the speedy computer. The new method was introduced and a random sample of 24 computers revealed a mean assembly time of 40.6 minutes with a standard deviation of 2.7 minutes, the distribution is normal.
At the .10 level of significance, can we conclude the new method is faster, on average?
Estimate the p value.
So my problm with this question is how to calculate the P-value . I need the P- value part to be explained in detail please and thank you.
Let denotes the mean assembly time in the new method.
To test against
Here
sample mean
sample standard deviation
and sample size
The test statistic can be written as
which under H0 follows a t distribution with n-1 df.
We reject H0 at 10% level of significance if P-value < 0.1
Now,
The value of the test statistic
P-value
Using Mintab software, calc-> Probability distribution -> t -> cumulative distribution, we got the p-value
Since P-value = 0.0026179 < 0.1, so we reject H0 at 10% level of significance and we can conclude that he new method is significantly faster, on average.
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