This module covers Chapter 11, Section 11.1 to 11.4 and focuseson probability. One common example of probability is the daily orweekly lottery. Have you ever seen those drawings where they useping-pong balls to select random numbers? If you calculate thechances of winning, they are pretty poor. For this week, I want youto design your own lottery and have another student assess thechances of winning. Keep it simple ... you could use dice, ballswith numbers, or some other approach. Example initial post ... Iwould like to design a lottery where there are 3 dice in a bag. Theperson will pick one dice at a time and record the number. In theend, we will have a sequence of 3 numbers. What is the chance ofwinning my game? Example response post ... Since there are 6 sidesto each dice, each selection has 6 different possible outcomes.Since we make 3 selections, the total number of outcomes is 6^3 =6*6*6 = 216. So, our chances (or probability) of getting any singleoutcome is 1/216 or 1 out of 216. Another way to think of this is1/216 = 0.004629 = 0.46% chance of winning. PLEASE TYPE- PLEASETYPE
