In: Statistics and Probability
Health insurance benefits vary by the size of the company (the Henry J. Kaiser Family Foundation website, June 23, 2016). The sample data below show the number of companies providing health insurance for small, medium, and large companies. For the purposes of this study, small companies are companies that have fewer than employees. Medium-sized companies have to employees, and large companies have or more employees. The questionnaire sent to employees asked whether or not the employee had health insurance and then asked the enployee to indicate the size of the company.
Health Insurance | |||||
Size of Company | Yes | No | Total | ||
Small | 36 | 14 | 50 | ||
Medium | 66 | 9 | 75 | ||
Large | 87 | 13 | 100 |
a. Conduct a test of independence to determine whether health insurance coverage is independent of the size of the company. What is the -value?
Compute the value of the test statistic (to 2 decimals).
The p value is _______ (less than .005, between .005 and .01, between .01 and .025, between .025 and .05, between .05 and .10, greater than .10)
Item 2
Using level of significance, what is your conclusion?
________________
(Cannot reject the assumption that health insurance coverage and size of the company are independent, Conclude health insurance coverage is not independent of the size of the company)
Item 3
b. A newspaper 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 |
Based on the percentages calculated above, what can you conclude?
__________(Large companies have a higher percentage of no coverage than medium and small companies, Medium companies have a higher percentage of no coverage than large and small companies, Small, medium, and large companies all have roughly the same percentage of no coverage, Small companies have a higher percentage of no coverage than large and medium companies)
Solution:
a. Null Hypothesis (Ho): Health insurance coverage is independent of the size of the company.
Alternative Hypothesis (Ha): Health insurance coverage is dependent on the size of the company.
Observed Frequency Table (O)
Health Insurance | ||||
Size of company | Yes | No | Total | |
Small | 36 | 14 | 50 | |
Medium | 66 | 9 | 75 | |
Large | 87 | 13 | 100 | |
Total | 189 | 36 | 225 | |
Expected frequency (E) is calculated using the formula
Expected frequency = (Row total x Column total)/Overall total
Health Insurance | ||||
Size of company | Yes | No | Total | |
Small | 42.00 | 8.00 | 50 | |
Medium | 63 | 12 | 75 | |
Large | 84.00 | 16.00 | 100 | |
Total | 189 | 36 | 225 |
Test Statistics
6.92
Using chi-square tables, the p-value with degrees of freedom , df = (number of rows - 1) (number of columns -1) = (3 -1)(2-1)=2 falls between 0.025 and 0.05
Since p-value is less than 0.05 significance level, we reject the null hypothesis.
Conclude health insurance coverage is not independent of the size of the company
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b.
Small 14/50 = 0.28
Medium 9/75 = 0.12
Large 13/100 = 0.13
Small companies have a higher percentage of no coverage than large and medium companies