In: Statistics and Probability
Salary |
Gender1 |
22.8 |
F |
23.6 |
F |
23.4 |
F |
34.1 |
F |
35.2 |
F |
25.3 |
F |
51 |
F |
24.4 |
F |
22.7 |
F |
23.9 |
F |
22.6 |
F |
24.1 |
F |
74.5 |
F |
48.9 |
F |
57.7 |
F |
63.7 |
F |
77.7 |
F |
79.1 |
F |
23 |
F |
42.9 |
F |
46.2 |
F |
28.1 |
F |
60 |
F |
42.1 |
F |
61.5 |
F |
36.2 |
M |
42.1 |
M |
23 |
M |
21.8 |
M |
40.5 |
M |
67.5 |
M |
51.1 |
M |
77.2 |
M |
22.8 |
M |
33.5 |
M |
65.6 |
M |
27.9 |
M |
45.5 |
M |
74.4 |
M |
55.5 |
M |
42.3 |
M |
24.3 |
M |
77.5 |
M |
27.2 |
M |
62.9 |
M |
23 |
M |
63.8 |
M |
61.8 |
M |
54.9 |
M |
61.9 |
M |
1. Use the data to determine the salary statistics for each gender
Male | Female | |
Mean | ||
Sample Standard Deviation | ||
Range |
2. Develope a 5-number summary for the overall, male and female salary variable.
Overall | Males | Females | |
Max | |||
3rd Q |
|||
Midpoint | |||
1st Q | |||
Min |
3. Using the entire Salary range and the M and F midpoints found in Q2
What would each midpoint's percentile rank be in the overall range?
Male | Female |
What is the normal curve z value for each midpoint within overall range?
Male | Female |
The Empirical Probability of equaling or exceeding (=>) that value for
Male | Female |
The Normal curve Prob of => that value for each group
Male | Female |
Conclusions: What do you make of these results?
What does this suggest about our equal pay for equal work question?