#Analysis (Opinion)
##The Odds Ratios between Table 1 and Table 2 seem to tell different stories. Why are these stories different? ______.
#Table 1 and Table 2 indicate very contrasting conclusions. This is because when we break down Table 2 based on the divisions and gender, there is a chance that some jobs that are labor intensive require more physical strength and therefore hire more men than women, like division E that is hiring 1.26 times more men as against women. Whereas when we look at Table 1, division A and B could be tech companies. These companies hire technically skilled (STEM) people, where demand is higher than supply and hence, percentage of people getting hired is much higher than divisions like E or F.
|
Division
|
X^2
|
p-value
|
Odds Ratio
|
Significant?
|
|
A
|
22.71
|
<0.05
|
2.91
|
Significant
|
|
B
|
0.18
|
0.67
|
1.22
|
Not Significant
|
|
C
|
0.96
|
0.32
|
0.88
|
Not Significant
|
|
D
|
0.40
|
0.52
|
1.08
|
Not Significant
|
|
E
|
1.36
|
0.24
|
0.82
|
Not Significant
|
|
F
|
0.58
|
0.44
|
1.22
|
Not Significant
|
Company wide hiring
|
|
Hired
|
Not Hired
|
Total
|
% Hired
|
Odds(Hired)
|
|
Male
|
1605
|
2000
|
3605
|
44.52
|
0.80
|
|
Female
|
746
|
1713
|
2459
|
30.34
|
0.44
|
Division based hiring
|
|
|
Hired
|
Not Hired
|
Total
|
% Hired
|
Odds(Hired)
|
|
A
|
Male
|
686
|
419
|
1105
|
62.08
|
1.64
|
|
A
|
Female
|
119
|
25
|
144
|
82.64
|
4.76
|
|
B
|
Male
|
473
|
277
|
750
|
63.07
|
1.71
|
|
B
|
Female
|
23
|
11
|
34
|
67.65
|
2.09
|
|
C
|
Male
|
161
|
275
|
436
|
36.93
|
0.59
|
|
C
|
Female
|
271
|
524
|
795
|
34.09
|
0.52
|
|
D
|
Male
|
185
|
374
|
559
|
33.09
|
0.49
|
|
D
|
Female
|
175
|
327
|
502
|
34.86
|
0.54
|
|
E
|
Male
|
71
|
185
|
256
|
27.73
|
0.38
|
|
E
|
Female
|
126
|
401
|
527
|
23.91
|
0.31
|
|
F
|
Male
|
29
|
470
|
499
|
5.81
|
0.06
|
|
F
|
Female
|
32
|
425
|
457
|
7.00
|
0.08
|