In: Statistics and Probability
With double-digit annual percentage
increases in the cost of health insurance, more and more workers
are likely to lack health insurance coverage (USA Today,
January 23, 2004). The following sample data provide a comparison
of workers with and without health insurance coverage for small,
medium, and large companies. For the purposes of this study, small
companies are companies that have fewer than 100 employees. Medium
companies have 100 to 999 employees, and large companies have 1000
or more employees. Sample data are reported for 50 employees of
small companies, 75 employees of medium companies, and 100
employees of large companies.
|
a)
Applying chi square test of independence: |
Expected | Ei=row total*column total/grand total | yes | No | Total |
small | 42.000 | 8.000 | 50.00 | |
medium | 63.000 | 12.000 | 75.00 | |
large | 84.000 | 16.000 | 100.00 | |
total | 189.00 | 36.00 | 225.00 | |
chi square χ2 | =(Oi-Ei)2/Ei | yes | No | Total |
small | 2.381 | 12.500 | 14.8810 | |
medium | 0.778 | 4.0833 | 4.8611 | |
large | 0.107 | 0.5625 | 0.6696 | |
total | 3.2659 | 17.1458 | 20.412 | |
test statistic X2 = | 20.41 |
p value is less than .005
Conclude health insurance coverage is not independent of the size of the company
b)
small | 36% |
medium | 7% |
large | 13% |
sSmall companies have a higher percentage of no coverage than large and medium companies