Question

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

 

15 Dec 2017
Answer :
Word Count : 500

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:

  1. 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
  2. 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
  3. Association Analysis: To quantify the

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