In: Statistics and Probability
The president of the American Insurance Institute wants to compare the yearly costs of auto insurance offered by two leading companies. He selects a sample of 15 families, some with only a single insured driver, others with several teenage drivers, and pays each family a stipend to contact the two companies and ask for a price quote. To make the data comparable, certain features, such as the deductible amount and limits of liability, are standardized. At the .10 significance level, can we conclude that there is a difference in the amounts quoted?
2090 | 1610 |
1683 | 1247 |
1402 | 2327 |
1830 | 1367 |
930 | 1461 |
697 | 1789 |
1741 | 1621 |
1129 | 1914 |
1018 | 1956 |
1881 | 1772 |
874 | 1527 |
1571 | 1375 |
1579 | 1767 |
1577 | 1636 |
860 | 1188 |
Car Insurance (A) | Mutual insurance (B) | Difference (D=A-B) |
2090 | 1610 | 480 |
1683 | 1247 | 436 |
1402 | 2327 | -925 |
1830 | 1367 | 463 |
930 | 1461 | -531 |
697 | 1789 | -1092 |
1741 | 1621 | 120 |
1129 | 1914 | -785 |
1018 | 1956 | -938 |
1881 | 1772 | 109 |
1571 | 1375 | 196 |
874 | 1527 | -653 |
1579 | 1767 | -188 |
1577 | 1636 | -59 |
860 | 1188 | -328 |
Here, we should use the paired t-test because mid states car insurance and Gecko mutual insurance are dependent because both the data are selected from the same families.