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).