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Unit 2 Statistics and Experimental Probability Learning Goals:– I can compare the theoretical probability of an event with the experimental probability, and explain why they might differ And I can determine, through investigation the tendency of experimental probability to approach theoretical probability as the number of trials in an experiment increases Statistics • Statistical information (data collection) can be used to determine experimental probability. • This kind of information is used: – by manufacturers to determine the probability of a defective product – to calculate sports-related probabilities – and probabilities based on public opinion Example 1 • Aaron participated in an archery contest and out of his 20 shots, he hit the "Bulls-eye" 7 times. Based on these statistics: a) What is the chance that Aaron will NOT hit the "Bulls-eye" on his next shot? a) In a second contest, Aaron must take 60 shots. How many bulls-eyes would you expect him to hit? Example 2 • On a production line, 35 electric can openers were found to be defective out of the 2000 randomly selected can openers that were tested. a) What is the probability that a can opener is defective? a) What is the probability that you buy 2 defective can openers in a row? Example 3 • In a survey of 50 students at St. Benedict, it was found that 33 were Canadiens fans, 14 were bruins fans and 3 were leafs fans. a) Calculate the probability of being a fan of each of the three teams a) Calculate the probability that 4 people selected at random will all be leaf fans? Investigation – Can you pass your test with a deck of cards? Trial Correct Answers (/10) Trial 1 11 2 12 3 13 4 14 5 15 6 16 7 17 8 18 9 19 10 20 Correct Answers (/10) Homework • Pg. 365 # 1, 4, 8, 9