A company is interested in determining the strength of association between the
communication time of their employees and the level of stress-related problems observed
on job. A study of 120 assembly line workers reveals the following data:
|
| Stress | |||
|
| High | Moderate | Low | Total |
| Under 20 min | 10 | 10 | 15 | 35 |
| 20- 50 min | 15 | 10 | 25 | 50 |
| Over 50 min | 15 | 10 | 10 | 35 |
| Total | 40 | 30 | 50 | 120 |
To determine the strength of the association between communication time and the level of stress-related problems, we can analyze the given data using descriptive statistics. We can calculate the following measures:
-
Frequency Distribution: The table shows the frequencies of stress levels for three categories of communication time: under 20 minutes, 20-50 minutes, and over 50 minutes.
Stress Level Under 20 min 20-50 min Over 50 min Total High 10 15 15 40 Moderate 10 10 10 30 Low 15 25 10 50 Total 35 50 35 120 -
Proportions: We can calculate the proportion of employees in each category of stress level for each communication time category:
-
Under 20 min:
- High stress: 1035=0.286\frac{10}{35} = 0.286
- Moderate stress: 1035=0.286\frac{10}{35} = 0.286
- Low stress: 1535=0.429\frac{15}{35} = 0.429
-
20-50 min:
- High stress: 1550=0.3\frac{15}{50} = 0.3
- Moderate stress: 1050=0.2\frac{10}{50} = 0.2
- Low stress: 2550=0.5\frac{25}{50} = 0.5
-
Over 50 min:
- High stress: 1535=0.429\frac{15}{35} = 0.429
- Moderate stress: 1035=0.286\frac{10}{35} = 0.286
- Low stress: 1035=0.286\frac{10}{35} = 0.286
-
-
Association Analysis: To quantify the
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