In: Math
You are given data from a company that recently laid off a large number of workers. The data includes the following variables:
Age of the employee
Number of years of education
Marital status (1=married/0=single)
Number of years that the employee worked for the company
Was a manager (1=yes/0=no)
Was in sales (1=yes/0=no)
Was primary earner in the family (1=yes/0=no)
95% confidence interval for proportion of employees who were in sales before they were laid off.
What do the confidence intervals tell you about the typical employee who got laid off?
| Age | Educ | Married | Primary earner | length of employment | Manager | Sales |
| 30 | 14 | 1 | 1 | 1 | 0 | 0 |
| 27 | 14 | 1 | 0 | 6 | 0 | 0 |
| 32 | 10 | 0 | 1 | 11 | 0 | 0 |
| 44 | 11 | 1 | 0 | 2 | 0 | 0 |
| 21 | 14 | 1 | 1 | 2 | 0 | 0 |
| 26 | 13 | 1 | 0 | 7 | 1 | 0 |
| 26 | 15 | 1 | 0 | 6 | 0 | 0 |
| 33 | 13 | 0 | 1 | 6 | 0 | 0 |
| 27 | 12 | 1 | 1 | 8 | 0 | 0 |
| 33 | 12 | 0 | 1 | 2 | 0 | 0 |
| 20 | 11 | 1 | 0 | 1 | 0 | 0 |
| 35 | 7 | 1 | 1 | 6 | 0 | 0 |
| 36 | 17 | 0 | 1 | 9 | 1 | 0 |
| 26 | 12 | 1 | 1 | 8 | 0 | 0 |
| 36 | 15 | 0 | 1 | 8 | 0 | 0 |
| 38 | 16 | 1 | 1 | 11 | 0 | 1 |
| 34 | 13 | 0 | 1 | 13 | 0 | 0 |
| 27 | 19 | 1 | 0 | 8 | 0 | 0 |
| 44 | 13 | 1 | 0 | 22 | 0 | 0 |
| 45 | 15 | 1 | 1 | 6 | 0 | 0 |
| 28 | 17 | 0 | 1 | 3 | 0 | 1 |
| 25 | 10 | 1 | 1 | 1 | 0 | 0 |
| 31 | 15 | 1 | 0 | 12 | 0 | 0 |
| 23 | 15 | 1 | 0 | 2 | 0 | 0 |
| 24 | 13 | 1 | 1 | 7 | 0 | 0 |
| 62 | 13 | 0 | 1 | 8 | 0 | 0 |
| 31 | 16 | 1 | 0 | 11 | 0 | 0 |
| 48 | 18 | 0 | 1 | 30 | 0 | 0 |
| 35 | 18 | 1 | 1 | 5 | 0 | 0 |
| 33 | 14 | 0 | 1 | 6 | 0 | 1 |
| 46 | 15 | 0 | 1 | 6 | 0 | 0 |
| 35 | 8 | 0 | 1 | 6 | 0 | 0 |
| 32 | 9 | 1 | 1 | 13 | 0 | 0 |
| 40 | 17 | 1 | 0 | 8 | 1 | 0 |
| 23 | 12 | 1 | 1 | 1 | 0 | 0 |
| 36 | 16 | 0 | 1 | 8 | 0 | 1 |
| 33 | 12 | 1 | 0 | 10 | 0 | 1 |
| 32 | 16 | 0 | 1 | 11 | 0 | 0 |
| 62 | 15 | 1 | 0 | 16 | 0 | 1 |
| 29 | 14 | 1 | 1 | 12 | 0 | 0 |
| 45 | 12 | 1 | 0 | 17 | 0 | 0 |
| 38 | 15 | 0 | 1 | 6 | 0 | 1 |
| 40 | 8 | 1 | 1 | 16 | 0 | 1 |
| 42 | 13 | 1 | 0 | 2 | 1 | 0 |
| 45 | 16 | 1 | 1 | 22 | 0 | 0 |
| 39 | 11 | 1 | 1 | 4 | 0 | 0 |
| 27 | 15 | 1 | 0 | 10 | 0 | 1 |
| 42 | 14 | 1 | 1 | 6 | 1 | 0 |
| 31 | 10 | 1 | 1 | 8 | 0 | 0 |
| 33 | 13 | 1 | 1 | 8 | 0 | 0 |
95% confidence interval for proportion of employees who were in sales before they were laid off.
What do the confidence intervals tell you about the typical employee who got laid off?
|
One-Way Summary Table |
||
|
Count of Sales |
||
|
Sales |
Total |
Percentage |
|
0 |
41 |
82.00% |
|
1 |
9 |
18.00% |
|
Grand Total |
50 |
|

|
Confidence Interval Estimate for the Proportion |
|
|
Data |
|
|
Sample Size |
50 |
|
Number of Successes |
9 |
|
Confidence Level |
95% |
|
Intermediate Calculations |
|
|
Sample Proportion |
0.18 |
|
Z Value |
1.9600 |
|
Standard Error of the Proportion |
0.0543 |
|
Interval Half Width |
0.1065 |
|
Confidence Interval |
|
|
Interval Lower Limit |
0.0735 |
|
Interval Upper Limit |
0.2865 |
95% CI for proportion = (0.0735, 0.2865).
We are 95% confident that proportion of all employees who were in sales before they were laid off falls in the interval (0.0735, 0.2865).