In: Statistics and Probability
Research suggests that people who can switch off from work (Detachment) during off-hours are more satisfied with life and have fewer symptoms of psychological strain. Factors at work can affect your ability to detach when away from work. For example, a study looked at 1709 Swiss and German employees measured job stress in terms of time pressure (Time_Pressure) at work (no time pressure, low, medium, high and very high time pressure). Carry out a chi-square test to see if time pressure is associated with the ability to detach from work. Test the researcher’s hypothesis that there is an association between “Detachment” and “Time Pressure” following the four steps of hypothesis testing.
Time pressure |
Detachment |
Frequency |
1 |
1 |
84 |
1 |
2 |
94 |
2 |
1 |
89 |
2 |
2 |
94 |
3 |
1 |
147 |
3 |
2 |
175 |
4 |
1 |
206 |
4 |
2 |
267 |
5 |
1 |
199 |
5 |
2 |
354 |
Step1:
H0: Null Hypothesis: There is no association between Detachment and Time Pressure
HA:Alternative Hypothesis: There is association between Detachment and Time Pressure
Step 2:
Observed Frequencies:
Detachment =1 | Detachment =2 | Total | |
Time Pressure =1 | 84 | 94 | 178 |
Time Pressure =2 | 89 | 94 | 183 |
Time Pressure =3 | 147 | 175 | 322 |
Time Pressure =4 | 206 | 267 | 473 |
Time Pressure =5 | 199 | 354 | 553 |
Total | 725 | 984 | 1703 |
Expected Frequencies:
Detachment =1 | Detachment =2 | Total | |
Time Pressure =1 | 725X178/1703=75.51 | 102.49 | 178 |
Time Pressure =2 | 77.63 | 105.37 | 183 |
Time Pressure =3 | 136.60 | 185.40 | 322 |
Time Pressure =4 | 200.66 | 272.34 | 473 |
Time Pressure =5 | 234.60 | 318.40 | 553 |
Total | 725 | 984 | 1703 |
The Test Statistic is calculated as follows:
Observed (O) | Expected (E) | (O - E)2/E |
84 | 75.51 | 0.95 |
94 | 102.49 | 0.70 |
89 | 77.63 | 1.66 |
94 | 105.37 | 1.23 |
147 | 136.60 | 0.79 |
175 | 185.40 | 0.58 |
206 | 200.66 | 0.14 |
267 | 272.34 | 0.10 |
199 | 234.60 | 5.40 |
354 | 318.40 | 3.98 |
Total = = | 15.55 |
The Test Statistic = 15.55
Step 3:
ndf = (r - 1) X (c -1)
= (5 - 1)X (2 - 1) =5
By Technology, p -value = 0.0037
Since p - value = 0.0037 is less than = 0.05, the difference is significant. Reject null hypothesis.
Step 4:
Conclusion:
The data support the claim that there is association between
Detachment and Time Pressure