In: Statistics and Probability
Determine if there is sufficient evidence to conclude the average amount of divorces is greater than or equal to 3000 in the United States and territories at the 0.05 level of significance N=52.
Summary Table for Divorces |
|
Mean |
1,399 |
Median |
1,176 |
Standard Deviation |
1407 |
Minimum |
0 |
Maximum |
7,008 |
The provided sample mean is and the sample standard deviation is , and the sample size is n=52.
(1) Null and Alternative Hypotheses
The following null and alternative hypotheses need to be tested:
Ho:
Ha:
This corresponds to a left-tailed test, for which a t-test for one mean, with unknown population standard deviation, will be used.
(2) Rejection Region
Based on the information provided, the significance level is α=0.05, and the critical value for a left-tailed test is tc=−1.675.
The rejection region for this left-tailed test is R=t:t<−1.675
(3) Test Statistics
The t-statistic is computed as follows
:
(4) Decision about the null hypothesis
Since it is observed that t=−8.205<tc=−1.675, it is then concluded that the null hypothesis is rejected.
Using the P-value approach: The p-value is p=0, and since p=0<0.05, it is concluded that the null hypothesis is rejected.
(5) Conclusion
It is concluded that the null hypothesis Ho is rejected. Therefore, there is enough evidence to claim that the population mean μ is less than 3000, at the 0.05 significance level and consequently there is not sufficient evidence to conclude the average amount of divorces is greater than or equal to 3000.
Please do upvote if you are satisfied! Let me know in the comments if anything is not clear. I will reply ASAP!