In: Statistics and Probability
The following two-way table of counts summarizes whether respondents smoked or not and whether they have had ever divorced or not for persons who had ever been married.
Ever Divorced? | ||
---|---|---|
Smoke? | Yes | No |
Yes | 275 | 213 |
No | 386 | 556 |
1. Among those who smoked, what percentage has ever been divorced? [Answer to 2 decimal places. Do not type % symbol in the box.] %
2. Among those who has ever been divorced, what percentage smoked? [Answer to 2 decimal places. Do not type % symbol in the box.] %
Next we intend to test if smoking habits and being
divorced are related or not.
3. What is the expected frequency of smoker and ever being
divorced? [Answer to 2 decimal places.]
4. What is the expected frequency of smoker and never being divorced? [Answer to 2 decimal places.]
5. What is the expected frequency of non-smoker and ever being divorced? [Answer to 2 decimal places.]
6. What is the expected frequency of non-smoker and never being divorced? [Answer to 2 decimal places.]
7. To test independence between smoking habits and being divorced, what is the value of chi-square test statistic? [Answer to 3 decimal places.]
Suppose we are testing:
Null hypothesis: smoking habit and ever being
divorced are not related,
against
Alternative hypothesis: smoking habit and ever
being divorced are related.
8. If the p-value associated to the ch-square test-statistics is
0 and the level of significance is 5%, what will be your
conclusion?
A. Do not reject null hypothesis
B. Not enough information to reach a decision
C. Reject null hypothesis
(1)
From the given data, the following Table is calculated:
Ever divorced - Yes | Ever divorced - No | Total | |
Smoke - Yes | 275 | 213 | 488 |
Smoke - No | 386 | 556 | 942 |
Total | 661 | 769 | 1430 |
Among those who smoked, percentage that has ever been divorced = (275/488) X 100 = 56.25%
So,
answer is:
56.25 |
(2)
Among those who have been divorced, percentage that smoked = (275/661) X 100 = 41.60
So,
Answer is:
41.60 |
(3)
Expected Frequency of Smoker AND ever being divorced = (661 X 488)/ 1430 = 225.57
So,
Answer is:
225.57 |
(4)
Expected Frequency of Smoker AND never being divorced = (769 X 488)/ 1430 = 262.43
So,
Answer is:
262.43 |
(5)
Expected Frequency of Non-Smoker AND ever being divorced = (661 X 942)/ 1430 = 435.43
So,
Answer is:
435.43 |
(6)
Expected Frequency of Non-Smoker AND never being divorced = (769 X 942)/ 1430 = 506.57
So,
Answer is:
506.57 |
(7)
Chi - square test statistic is got as follows:
Observed (O) | Expected (E) | (O - E)2/E |
275 | 225.57 | 10.8318 |
213 | 262.43 | 9.3104 |
386 | 435.43 | 5.6113 |
556 | 506.57 | 4.8233 |
Total = = | 30.574 |
Chi - square test statistic = 30.574
(8)
Correct option:
C. Reject null hypothesis