In: Statistics and Probability
Medicare spending per patient in different U.S. metropolitan
areas may differ. Based on the sample data below, answer the
questions that follow to determine whether the average spending in
the northern region is significantly less than the average spending
in the southern region at the 1 percent level.
Medicare Spending per Patient (adjusted for age, sex, and race) | ||||||
Statistic | Northern Region | Southern Region | ||||
Sample mean | $ | 3,123 | $ | 8,456 | ||
Sample standard deviation | $ | 1,546 | $ | 3,678 | ||
Sample size | 14 | patients | 16 | patients | ||
Let be the population mean for northern region and be the population mean for southern region
Here the hypothesis are as follow
Null hypothesis, Ho;
Alternate hypothesis,Ha;
This corresponds to a left-tailed test
Based on the information provided, the significance level is α=0.01, and the degrees of freedom are df=n1+n2-2= 16+14-2= 28..
Hence, it is found that the critical value for this left-tailed test is tc=−2.467 (from t-table at α=0.01 and df=28)
The rejection region for this left-tailed test is R={t:t<−2.467}.
The formula for compting test statistic is
Since it is observed that t = -5.045 & t=−5.045<tc=−2.467, it is then concluded that the null hypothesis is rejected.
Hence there is enough evidence to claim that the average spending in the northern region is significantly less than the average spending in the southern region at the 1 percent level.