In: Statistics and Probability
A recent national report states the marital status distribution
of the male population age 18 or older is as follows:
Never Married (31.6%),
Married (54.6%),
Widowed (2.4%),
Divorced (11.4%).
The table below shows the results of a random sample of 1744 adult
men from California. Test the claim that the distribution
from California is as expected at the αα = 0.10
significance level.
Outcome | Frequency | Expected Frequency |
---|---|---|
Never Married | 552 | |
Married | 939 | |
Widowed | 67 | |
Divorced | 186 |
1).the table be:-
Outcome | Frequency | Expected Frequency |
---|---|---|
Never Married | 552 | 1744*0.316 = 551 |
Married | 939 | 1744*0.546 = 952 |
Widowed | 67 | 1744*0.024 = 42 |
Divorced | 186 | 1744*0.114 = 199 |
2).hypothesis:-
H0: The distribution of marital status in California is the same as it is nationally.
Ha: The distribution of marital status in California is not the same as it is nationally.
3). degrees of freedom = (4-1) = 3
4).the test statistic be:-
[ here, this value a bit smaller..as in question we have instructed to convert the expected frequency to nearest whole number....but if you use the actual values the value of test statistic will be 16.12 ]
5).the rejection region is :-
[ chi square critical value for df=3,alpha=0.10 is = 6.25 ]
6).Based on this, we should : Reject the null
[ as chi square = 15.91 > 6.25 ]
7).Thus, the final conclusion is:-
There is sufficient evidence to conclude that the distribution of marital status in California is not the same as it is nationally.
*** if you have any doubts about the problem please mention it in the comment box... if satisfied please LIKE.