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A large corporation is interested in determining whether a relationship exists b

ID: 3132209 • Letter: A

Question

A large corporation is interested in determining whether a relationship exists between the commuting time of its employees and the level of stress-related problems observed on the job. A study of 119 workers reveals the data in the accompanying table. Complete parts (a) and (b) below. Click the icon to view the table. Click the icon to view the table of critical values for chi-square distributions a. At the 0.01 level of significance, is there evidence of a relationship between commuting time and stress level? State the null and alternative hypotheses to test. Ho: There is no relationship between commuting time and stress level. H1 : There is a relationship between commuting time and stress level. Find the test statistic. STAT = (Round to two decimal places as needed.)

Explanation / Answer

Chi-Square Test

Observed Frequencies

Stress level

Commuting time

High

Moderate

Low

Total

Under 15 min.

9

5

20

34

15 - 45 min.

17

8

28

53

Over 45 min.

19

6

7

32

Total

45

19

55

119

Expected Frequencies

Stress level

Commuting time

High

Moderate

Low

Total

Under 15 min.

12.85714

5.4285714

15.71429

34

15 - 45 min.

20.04202

8.4621849

24.4958

53

Over 45 min.

12.10084

5.1092437

14.78992

32

Total

45

19

55

119

Data

Level of Significance

0.01

Number of Rows

3

Number of Columns

3

Degrees of Freedom

4

Results

Critical Value

13.2767

Chi-Square Test Statistic

11.53982

p-Value

0.021122

Do not reject the null hypothesis

Expected frequency assumption

       is met.

Chi-Square Test

Observed Frequencies

Stress level

Commuting time

High

Moderate

Low

Total

Under 15 min.

9

5

20

34

15 - 45 min.

17

8

28

53

Over 45 min.

19

6

7

32

Total

45

19

55

119

Expected Frequencies

Stress level

Commuting time

High

Moderate

Low

Total

Under 15 min.

12.85714

5.4285714

15.71429

34

15 - 45 min.

20.04202

8.4621849

24.4958

53

Over 45 min.

12.10084

5.1092437

14.78992

32

Total

45

19

55

119

Data

Level of Significance

0.01

Number of Rows

3

Number of Columns

3

Degrees of Freedom

4

Results

Critical Value

13.2767

Chi-Square Test Statistic

11.53982

p-Value

0.021122

Do not reject the null hypothesis

Expected frequency assumption

       is met.

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