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.
Health Insurance | |||||
Size of Company | Yes | No | Total | ||
Small | 39 | 11 | 50 | ||
Medium | 70 | 5 | 75 | ||
Large | 89 | 11 | 100 |
Small | % |
Medium | % |
Large | % |
a) applying chi square test:
Expected | Ei=row total*column total/grand total | Yes | No | Total |
small | 44.000 | 6.000 | 50 | |
medium | 66.000 | 9.000 | 75 | |
large | 88.000 | 12.000 | 100 | |
total | 198 | 27 | 225 | |
chi square χ2 | =(Oi-Ei)2/Ei | Yes | No | Total |
small | 0.5682 | 4.1667 | 4.735 | |
medium | 0.2424 | 1.7778 | 2.020 | |
large | 0.0114 | 0.0833 | 0.095 | |
total | 0.822 | 6.028 | 6.850 |
chi square test statistic X2 =6.850
p value =0.0326
Conclude health insurance coverage is not independent of the size of the company
b)
small | 22% |
medium | 7% |
large | 11% |
we can conclude that smaller companies are most likely to lack health insurance coverage.