Step 1 :Given a right-tailed test with test statistic \(z=1.28\) and significance level \(\alpha=0.07\).
Step 2 :The P-value is the probability that a random variable is more extreme than the observed results, assuming the null hypothesis is true.
Step 3 :In a right-tailed test, the P-value is the area to the right of the test statistic on the standard normal distribution.
Step 4 :We can find this value using the cumulative distribution function (CDF) of the standard normal distribution, which gives the probability that a random variable is less than or equal to a given value.
Step 5 :Since we want the area to the right of the test statistic, we subtract the CDF value from 1.
Step 6 :The calculated P-value is approximately 0.1003.
Step 7 :We compare this P-value with the significance level \(\alpha=0.07\) to decide whether to reject the null hypothesis.
Step 8 :If the P-value is less than or equal to \(\alpha\), we reject the null hypothesis. Otherwise, we do not reject the null hypothesis.
Step 9 :The P-value is approximately 0.1003, which is greater than the significance level \(\alpha=0.07\). Therefore, we do not reject the null hypothesis.
Step 10 :Final Answer: The P-value is \(\boxed{0.1003}\).