SOLUTION: GreenBeam Ltd. claims that its compact fluorescent bulbs average no more than 3.55 mg of mercury. A sample of 40 bulbs shows a mean of 3.62 mg of mercury. The standard deviation is

Algebra ->  Probability-and-statistics -> SOLUTION: GreenBeam Ltd. claims that its compact fluorescent bulbs average no more than 3.55 mg of mercury. A sample of 40 bulbs shows a mean of 3.62 mg of mercury. The standard deviation is      Log On


   



Question 1153955: GreenBeam Ltd. claims that its compact fluorescent bulbs average no more than 3.55 mg of mercury. A sample of 40 bulbs shows a mean of 3.62 mg of mercury. The standard deviation is 0.23mg and I found the test statistic which is 1.92 but I need help Finding the p-value. (Round intermediate calculations to 2 decimal places. Round your answer to 4 decimal places.) I don't understand how to do it in excel.
Answer by jim_thompson5910(35256) About Me  (Show Source):
You can put this solution on YOUR website!

You have the correct z test statistic. Nice work so far.

Now you'll use the NORM.DIST function in excel. More info can be found here

The general template of the function is
=NORM.DIST(x, mean, standard_dev, cumulative)
In your case, you will type in
=NORM.DIST(1.92, 0, 1, 1)
The x is the z score you got
the mean and standard deviation are 0 and 1 respectively
Cumulative is set to 1 to indicate we want the area under the normal curve. You can use "TRUE" in place of "1" for the cumulative part. So your command could look like this: =NORM.DIST(1.92, 0, 1, TRUE)

The result of that excel calculation is approximately 0.97257105
This is the area under the curve to the left of z = 1.92
Subtract this from 1 (see note below) to get
1-0.97257105 = 0.02742895
which is also approximate
This is the approximate area under the standard normal curve that is to the right of z = 1.92

The p value is approximately 0.0274

Note: the reason why I knew to subtract from 1 is because of the hypothesis. The null hypothesis is mu+%3C=+3.55 (which is where the claim is being made) and the alternative hypothesis is mu+%3E+3.55 which runs counter or opposite to the claim made in the null. The alternative hypothesis tells us we have a right tailed test.