In: Statistics and Probability
Yes | No | Undecided | |
Employed | 30 | 15 | 5 |
Unemployed | 20 | 25 | 10 |
Use the table data to answer 9 -12.
Responses to a survey question are broken down according to employment and the sample results are given in the table. At the .10 significance level, test the claim that the response and employment status are independent.
Which of the following is the correct statement for the claim?
Group of answer choices
H1: Response and Employment status are dependent
Ho: Response and Employment status are independent
Ho: Response and Employment status are dependent
H1: Response and Employment status are independent
Question 10
The p-value is:
Group of answer choices
.0156
.0722
.2364
.0513
Question 11
The test statistic is:
37.541
25.963
5.942
12.588
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Question 12
The conclusion for this test is:
Fail to reject Ho which says that there is sufficient evidence to support the claim that response and employment status are dependent
Fail to reject Ho which says there is insufficient evidence to warrant rejection of the claim that response and employment status are independent
Reject Ho which says there is sufficient evidence to warrant rejection of the claim that response and employment status are independent
Reject Ho which says that there is sufficient evidence to supoort the claim that response and employment status are dependent
Solution:
Here, we have to use chi square test for independence of two categorical variables.
Null hypothesis: H0: Two variables are independent.
Alternative hypothesis: Ha: Two variables are dependent.
We assume/given level of significance = α = 0.10
Test statistic formula is given as below:
Chi square = ∑[(O – E)^2/E]
Where, O is observed frequencies and E is expected frequencies.
E = row total * column total / Grand total
We are given
Number of rows = r = 2
Number of columns = c = 3
Degrees of freedom = df = (r – 1)*(c – 1) = 1*2 = 2
α = 0.10
Critical value = 4.605170186
(by using Chi square table or excel)
Calculation tables for test statistic are given as below:
Observed Frequencies |
||||
Response |
||||
Employment |
Yes |
No |
Undecided |
Total |
Employed |
30 |
15 |
5 |
50 |
Unemployed |
20 |
25 |
10 |
55 |
Total |
50 |
40 |
15 |
105 |
Expected Frequencies |
||||
Response |
||||
Employment |
Yes |
No |
Undecided |
Total |
Employed |
23.80952381 |
19.047619 |
7.142857143 |
50 |
Unemployed |
26.19047619 |
20.952381 |
7.857142857 |
55 |
Total |
50 |
40 |
15 |
105 |
Calculations |
||
(O - E) |
||
6.190476 |
-4.04762 |
-2.14286 |
-6.19048 |
4.047619 |
2.142857 |
(O - E)^2/E |
||
1.609524 |
0.860119 |
0.642857 |
1.463203 |
0.781926 |
0.584416 |
Test Statistic = Chi square = ∑[(O – E)^2/E] = 5.942045455
χ2 statistic = 5.942045455
P-value = 0.051250868
(By using Chi square table or excel)
P-value < α = 0.10
So, we reject the null hypothesis
Reject Ho which says there is sufficient evidence to warrant rejection of the claim that response and employment status are independent.