The CEO of a computer company surveyed a sample of employees on their job satisfaction. A random sample of 25 employees were chosen from the 135 employees in the company. The survey results are displayed in the table below.

The number of responses for very satisfied is 7, satisfied is 11, neutral is 5, and dissatisfied is 2.

Using the information in the table, predict the number of employees in the entire company who would select each of the satisfaction ratings listed. Round to the nearest whole number.

Very Satisfied:
Choose...

Satisfied:
Choose...

Neutral:
Choose...

Dissatisfied:
Choose...

1 answer

To predict the number of employees in the entire company who would select each of the satisfaction ratings, we can use the proportions from the survey results and apply them to the total number of employees in the company.

The total number of survey responses is:

  • Very Satisfied: 7
  • Satisfied: 11
  • Neutral: 5
  • Dissatisfied: 2

Total responses = 7 + 11 + 5 + 2 = 25

Now, we can calculate the proportions of each satisfaction rating:

  1. Very Satisfied: \[ \text{Proportion} = \frac{7}{25} = 0.28 \]

  2. Satisfied: \[ \text{Proportion} = \frac{11}{25} = 0.44 \]

  3. Neutral: \[ \text{Proportion} = \frac{5}{25} = 0.20 \]

  4. Dissatisfied: \[ \text{Proportion} = \frac{2}{25} = 0.08 \]

Next, we apply these proportions to the total number of employees (135) in the company:

  1. Very Satisfied: \[ \text{Predicted} = 0.28 \times 135 \approx 37.8 \quad \text{(rounded to 38)} \]

  2. Satisfied: \[ \text{Predicted} = 0.44 \times 135 \approx 59.4 \quad \text{(rounded to 59)} \]

  3. Neutral: \[ \text{Predicted} = 0.20 \times 135 \approx 27.0 \quad \text{(rounded to 27)} \]

  4. Dissatisfied: \[ \text{Predicted} = 0.08 \times 135 \approx 10.8 \quad \text{(rounded to 11)} \]

Now, summarizing the results:

  • Very Satisfied: 38
  • Satisfied: 59
  • Neutral: 27
  • Dissatisfied: 11

This is the number of employees in the entire company who would select each of the satisfaction ratings.