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 | 38 | 12 | 50 | ||
Medium | 62 | 13 | 75 | ||
Large | 89 | 11 | 100 |
Conduct a test of independence to determine whether employee
health insurance coverage is independent of the size of the
company. Use = .05. Use Table 12.4.
A.) Compute the value of the 2 test statistic (to 2
decimals).
B.) The USA Today article indicated employees of small
companies are more likely to lack health insurance coverage.
Calculate the percentages of employees without health insurance
based on company size (to the nearest whole number).
Small | % |
Medium | % |
Large | % |
applying chi square test of independence:
Observed | OBS | yes | no | Total |
small | 38 | 12 | 50 | |
medium | 62 | 13 | 75 | |
large | 89 | 11 | 100 | |
Total | 189 | 36 | 225 | |
Expected | Ei=?row*?column/?total | yes | no | Total |
small | 42.000 | 8.000 | 50 | |
medium | 63.000 | 12.000 | 75 | |
large | 84.000 | 16.000 | 100 | |
Total | 189 | 36 | 225 | |
chi square | =(Oi-Ei)2/Ei | yes | no | Total |
small | 0.38 | 2.00 | 2.38 | |
medium | 0.02 | 0.083 | 0.10 | |
large | 0.30 | 1.563 | 1.86 | |
Total | 0.69 | 3.65 | 4.340 |
test statsistic =4.34
b)
dividing each no cell with its row total:
percentages of employees without health insurance based on company size is given below
small | 24.0% |
medium | 17% |
large | 11.0% |
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