In: Statistics and Probability
A small business pays health insurance for its employees. According to a recent estimate, the average cost that employers pay for health insurance is μ= $4000 per year for a single employee in this industry. The manager of the small business is concerned that their costs are significantly different than the industry average. Data from a sample of employees is used.
Use data from "insurance" in Excel sheet provided
to run the appropriate statistical test. Use α=0.01 . What do you
conclude? Select ALL that apply!
The result was statistically significant. |
||
The p-value was less than alpha. |
||
The result was NOT statistically significant. |
||
The p-value was NOT less than alpha. |
insurance costs per employee |
4499 |
4252 |
5497 |
3603 |
4240 |
4958 |
4389 |
4367 |
4501 |
3872 |
4449 |
4310 |
4116 |
5022 |
5050 |
4562 |
4368 |
4738 |
5417 |
3999 |
4999 |
4379 |
4367 |
4637 |
4703 |
4437 |
4287 |
4529 |
4262 |
4248 |
Using TI 84 calculator
press stat then edit then enter the given data values in L1
press stat again and then tests then TTest
select data as input
enter the data
List = L1
press enter, we get
t statistic= 6.618
p value = 0.0000
So, result is significant as the p value is less than significance level of 0.01, rejecting the null hypothesis and concluding that the mean is different from 4000
option A and B