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Bell Ringer • Solve and combine like terms when possible. 7d + 3(d + 3) – d 8f2 – f(6 – f) + 10f + 12(f + 3) Probability Mr. Haupt CC.2.1.8.E.1 Probability • The probability of an event tells you how likely it is that something will occur. • It is written like this: P(event) • So, the probability of getting tails when flipping a coin would be written as P(tails) Outcome • The outcome is the result of a single trial. • As in the roll of a dice, the flip of a coin, one pick out of a bag of marbles, etc. • Favorable outcome – the outcome we want to happen. If we want to roll a 4 on a dice, then that is our favorable outcome. Sample Space • The list of all possible outcomes is called the sample space. • If we are talking about rolling a dice, the sample space would be 1,2,3,4,5,6 Event • An event is any outcome or group of outcomes. Example of how this works. • Say we would want to find the probability of rolling an even number on a dice. • Event – Rolling an even number. • Sample Space – 1,2,3,4,5,6 • Favorable Outcome – 2,4,6 • We will use this information to find the theoretical probability. Theoretical Probability • The theoretical probability in the easiest terms is: what SHOULD happen. • We can find the theoretical probability with this formula: • P(event) = number of favorable outcomes number of possible outcomes • The theoretical probability of getting tails on a coin flip is .5 or 50% • This does not mean that these will be your actual results. Theoretical Probability Continued • The probability of an event can be written as a fraction, a decimal, or a percent. In terms of decimals, the range goes from 0 to 1. 0 Impossible Event Ex: Rolling a 7 on a dice 0.5 Equally Likely as not Getting tails when flipping coin 1 Certain Event Rolling less than 7 on a dice Complement of an Event • The complement of an event is all the outcomes not included in the original event. • So if we go back to rolling a dice, the possible outcomes are 1,2,3,4,5,6. If we look at rolling an even number 2,4,6, then the complement to that event would be all the odd numbers 1,3,5. Odds • Sometimes we see probability in the form of odds, especially in sports, gambling, etc. • We use odds to compare favorable and unfavorable outcomes. • The odds of flipping tails are 1 to 1, or 50/50. • The odds of the Eagles winning the Super Bowl are 1 million to 1. (Actually it is 20 to 1 according to Vegas, but believe me, it ain’t happening.) Experimental Probability • Experimental probability is what you actually get when you perform the trials. • We use the following formula to find it: • P(event) = number of times the event occurs number of times the experiment is done • The theoretical probability of getting heads is 50%, but let’s say you try it 20 times and get 12 heads and 8 tails, your experimental probability is 60%.