In: Statistics and Probability
partial credit,10.4.37-T |
Economists theorize that the recent recession has affected men more than women because men are typically employed in industries that have been hit hardest by the recession. Women, on the other hand, are typically employed in services which are considered more recession resistant. A sample of
175175
men and a sample of
145145
women were drawn. In those samples,
2121
men were unemployed, and
1313
of the women were unemployed. Complete parts a and b below.
Employed | Unemployed | Total | |
Male | 173054 | 2121 | 175175 |
Female | 143832 | 1313 | 145145 |
Total | 316886 | 3434 | 320320 |
Expected | 175175*316886/320320=173297.031 | 3434*175175/320320=1877.96875 |
Frequencies | 316886*145145/320320=143588.969 | 3434*145145/320320= 1556.03125 |
Now the calculation for chi square test:
H0: Recession has affected men and women equally(NULL HYPOTHESIS)
H1: Recession has affected men more than women.(ALTERNATE HYPOTHESIS)
Class | Freq.(f) | Expected(e) | (f-e)^2 | (f-e)^2/e |
Male employed | 173054 | 173297.031 | 59064.067 | 0.34082 |
Male Unemployed | 2121 | 1877.96875 | 59064.1885 | 31.4511 |
Female employed | 143832 | 143588.969 | 59064.067 | 0.4113 |
Female Unemployed | 1313 | 1556.03125 | 59064.1885 | 37.9582 |
Total | 70.9582 |
it is significant at 5% level of significance and we reject the null hypothesis hence, recent recession has affected men more than women