Question

In: Statistics and Probability

Yes No Undecided Employed            30                   15         &n

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

Solutions

Expert Solution

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.


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