Given a test statistic of z= 1.50, the p-value for a right-tail (upper tail) test is approximately
Use a z-table to determine the p-value. The p-value is the actual level of the test statistic.
To determine the p-value for a right-tail (upper tail) test, you need to find the probability of observing a test statistic as extreme as, or more extreme than, the given test statistic.
In this case, the given test statistic is z = 1.50.
To find the p-value, you need to refer to a standard normal distribution table or use statistical software.
If you are using a standard normal distribution table, you can look up the area to the right of z = 1.50. The area represents the probability. If it is not available exactly, you can get an approximation by looking up the closest value to 1.50 in the table.
Let's say you find that the area to the right of z = 1.50 is 0.0668.
Since the p-value is the probability of observing a test statistic as extreme as, or more extreme than, the given test statistic, the p-value for a right-tail test with z = 1.50 is approximately 0.0668.
Note that the p-value represents the likelihood of observing a test statistic as extreme or more extreme, assuming the null hypothesis is true. The p-value is used to make a decision about whether to reject or fail to reject the null hypothesis based on a predetermined significance level (α).