A current survey of 38 lawyers found an average salary of
$120,000, with a sample standard deviation of $10,000. We
don’t know the true population mean or variance
for lawyers’ salaries.
Suppose that US news publishes an article saying the average
lawyer’s salary in the US is $125,000, and you want to test for
whether the true average salary is different than that amount
- What is the null and alternative hypothesis for the above test?
(1 POINT)
- What are the critical values for the above hypothesis test, at
the 90, 95, and 99% confidence levels? (1
POINT)
Critical Values:
- What is the test statistic for the above hypothesis test? Not
required for the point of extra credit, but also can you determine
the RANGE of the p-value? (1 POINT)
- At what significance levels (alpha levels) could you reject the
null hypothesis, and why? (1 POINT)
- If instead of 38 lawyers you had found the mean and standard
deviation you found above but from a sample of 85 lawyers, what
would happen to the size of the test statistic and p-value? Would
you be more or less likely to reject the null hypothesis than
before?
(2 POINT)