How to find p-values
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AP Statistics › How to find p-values
We are testing the hypothesis that the average gas consumption per day in Billings, Montana is greater than 7 gallons per day; we want 95% confidence.
We sample 30 drivers. The average is 8.4, and the sample standard deviation is 4.29.
Our null hypothesis is
- 
What is the Z-value for a 1-tailed test at 95%?
 - 
What is the Z-value for our sample mean of 8.4?
 - 
What is the p-value for our sample mean of 8.4?
 - 
Do we reject the null hypothesis?
 
- 
1.64
 - 
1.8
 - 
.036
 - 
Yes
 
- 
1.64
 - 
1.9
 - 
.028
 - 
Yes
 
- 
1.64
 - 
1.55
 - 
.067
 - 
No
 
- 
1.64
 - 
1.44
 - 
.083
 - 
No
 
- 
1.64
 - 
1.95
 - 
.020
 - 
Yes
 
Explanation
From the Z-table: 1.8 corresponds to .9641; p= 1 - .9641 = .036
We reject the null hypothesis since 1.8 > 1.64 (and .036 is less than 95%).
In plain English, we are 95% sure that we will not get a sample mean of 8.4 when the true population mean is 7.
Under the null hypothesis, the distribution of a stock price is normal with mean  and standard deviation 
. The actual stock price now is 
. What is the probability that the stock price is this much or greater under the null hypothesis?
Explanation
This exercise consists of computing the p-value. The null distribution is normal, so we must compute the z-score with the actual data we have and use it to compute the p-value.
We have:
Now we calculate the chance that , using the context from the problem.
Using a normal table, we get , which is the answer.
and the sample mean is 12.
Select the answer so that both statements indicate a rejection of the null hypothesis at the 95% confidence level.
- The Z-value for 12 is greater than 1.96
 
and
- The p-value for 12 is less than .05
 
- The Z-value for 12 is less than 1.96
 
and
- The p-value for 12 is less than .05
 
- The Z-value for 12 is greater than 1.96
 
and
- The p-value for 12 is greater than .05
 
- The Z-value for 12 is less than 1.96
 
and
- The p-value for 12 is greater than .05
 
Explanation
In order to reject the null hypothesis, the Z-value for the sample must be greater than (i.e. must lie outside of) the Z-value of the confidence level.
By definition, if the Z-value of the sample is greater than the Z-value of the confidence level, then the p-value of the sample must be less than the p-value for the confidence level.