LESSON 2 β THEORETICAL PROBABILITY THEORETICAL PROBABILITY π (πΈ ) = π(πΈ) π(π) Where π(πΈ) is the # of outcomes in the event and π(π) is the # of outcomes in the sample space NOTE: 1. 0 β€ π(πΈ) β€ 1 (ππ 100%) 2. π(πππππ π ππππ ππ£πππ‘) = 3. π(ππππ‘πππ ππ£πππ‘) = 4. π΄β is the complement of π΄ which means βeverything in the sample space NOT in Aβ S S A 5. Aβ π(π΄) + π(π΄β) = 1 Can be rearranged into two other forms: OR EXAMPLE β Determine the following probabilities: a) rolling a 5 with 1 die; b) NOT rolling a 5 with 1 die. EXAMPLE β‘ Determine the following probabilities: a) tossing 2 heads with 2 coins; b) two identical tosses with 2 coins. EXAMPLE β’ Determine the following probabilities when drawing a card from a standard 52 card deck: a) the card is red; b) c) the card is NOT a heart. the card is a heart; EXAMPLE β£ Complete the chart for the sum of 2 die. 1 2 3 4 5 6 Determine the following probabilities: a) rolling a sum of 8 with 2 dice; 1 2 b) rolling at least one 3 with 2 dice; c) rolling a composite number with 1 die; d) rolling a sum that is a prime number with 2 dice. 3 4 5 6 EXAMPLE β€ A restaurant owner records the frequency of customer visits in a given month. The results are recorded in the following table: Number of Visits 1 2 3 4 or more a) Number of Customers 4 6 7 3 Determine the probability that a customer ate at the restaurant: i) exactly 3 times; ii) fewer than 3 times b) If 50 customers visited the restaurant during the next month, determine the number of customers that would be expected to eat there exactly 2 times. USING A TREE DIAGRAM TO CALCULATE PROBABILITY EXAMPLE β₯ a) Illustrate the possible outcomes of tossing 3 coins using a tree diagram. b) Determine the following probabilities from the tree diagram: i) P(three heads) = iii) P(first toss being a tail) = ii) P(two tails) = c) What is the assumption made in the calculations above? ODDS ππ·π·π πΌπ πΉπ΄πππ ππΉ π΄ = π(π΄): π(π΄β² ) ο· ο· ππ·π·π π΄πΊπ΄πΌπππ π΄ = π(π΄β²): π(π΄) Used in sports to make predictions about a teamβs chances for winning Often predictions involve subjective probability determined by a sports analyst EXAMPLE β¦ The probability of the leafs making the playoffs for the 2014-2015 season is 25%. What are the odds in favor and odds against the leafs making the playoffs?
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