How is probability connected to risk in the real world? Everything that we do involves a certain amount of risk. You might burn your lips when you sip your hot chocolate. You might get hit by a bus the next time you leave your home. Because of the fact that you might burn your lips or get hit by a bus the next time you leave your house, should you never drink hot chocolate or go outside again? No. The risks associated with these activities are minimal. Besides, your house could burn down just as easily as you could get hit by a bus!
Does dying worry you? Some people worry about dying all of the time! Some people worry to the point that they can't sleep at night! There are some things that people should worry about, but there are other things with wich we really shouldn't concern ourselves. Today we will examine some real life data to see where in Canada certain accidents are most likely to occur.
To start with, examine the "Twenty Risks of Death" work sheet.
• Make a prediction listing the 14 provinces and territories in order of traffic fatalities, most to least.
• Make a prediction listing the 14 provinces and territories in order of traffic injuries, most to least.
• For these age groups [ 0-4, 5-14, 15-19, 20-24, 25-34, 35-44, 45-54, 55-64, 65+] predict the % of traffic fatalities that occur.
• For these age groups [ 0-4, 5-14, 15-19, 20-24, 25-34, 35-44, 45-54, 55-64, 65+] predict the % of traffic injuries that occur in each.

We can't do your homework for you; we don't even have the data and the rest of the worksheet. It seems simple enough. Add all the numbers for each province, list highest to lowest, calculate the % for each age group by dividing the smaller number by the total. Perhaps you could impress the teacher by saying that past data is not a true prediction. Lowered speed limits, higher drinking age, safer cars, and even higher gas prices can cause people to drive more safely, have fewer accidents, and affect the statistics.