[See Solution] Page 133 37 76 18 81 28 29 18 18 27 20 18 17 70 87 45 32 88 20 18 28 17 51 24 37 24 21 18 18 17 40 25 16 45 31 74 38 16 30 17 34 34 27 87
Question: Page 133
| 37 | 76 | 18 | 81 | 28 | 29 | 18 | 18 | 27 | 20 |
| 18 | 17 | 70 | 87 | 45 | 32 | 88 | 20 | 18 | 28 |
| 17 | 51 | 24 | 37 | 24 | 21 | 18 | 18 | 17 | 40 |
| 25 | 16 | 45 | 31 | 74 | 38 | 16 | 30 | 17 | 34 |
| 34 | 27 | 87 | 24 | 45 | 24 | 44 | 73 | 18 | 44 |
| 16 | 16 | 73 | 17 | 16 | 51 | 24 | 16 | 31 | 38 |
| 86 | 19 | 52 | 35 | 18 | 18 | 69 | 17 | 28 | 38 |
| 69 | 65 | 57 | 45 | 23 | 18 | 56 | 16 | 20 | 22 |
| 77 | 18 | 73 | 26 | 58 | 24 | 21 | 21 | 29 | 51 |
| 17 | 30 | 16 | 17 | 36 | 42 | 18 | 76 | 53 | 27 |
| Age | Licensed Drivers (millions) |
| 16-19 | 9.2 |
| 20-29 | 33.6 |
| 30-39 | 40.8 |
| 40-49 | 37 |
| 50-59 | 24.2 |
| 60-69 | 17.5 |
| 70-79 | 12.7 |
| 80-89 | 4.3 |
Convert the given frequency distribution to a relative frequency distribution, then create a relative frequency distribution for the ages of drivers killed in car crashes. Compare the two relative frequency distributions. Which age categories appear to have substantially greater proportions of fatalities than the proportions of licensed drivers? If you were responsible for establishing the rates for auto insurance, which age categories would you select for higher rates? Construct a graph that is effective in identifying age categories that are more prone to fatal car crashes.
Deliverable: Word Document 