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Probability Objectives SWBAT: • Interpret probabilities as ratios, percents, and decimals • Find and estimate probabilities and make predictions based on theoretical and experimental probabilities • Model situations involving probabilities with simulations and theoretical models Feb 157:07 PM Feb 2012:50 PM Probability Basics Feb 202:20 PM Probability Probability: tells how likely an event is to happen; "What's the chance...?" • Can be expressed as a ratio (fraction), percent, or decimal between 0 and 1 0 <1/41/23/4> 1 impossible unlikely equally likely likely certain 0 % 25% 50% 75% 100% 0 .25 .50 .75 1 Complement of an event A: not A Probability of an event and its complement = 1 or 100% ex: The weather man states that there is a 40% chance of rain tonight. What is the probability that there will not be rain tonight? Feb 157:07 PM Theoretical Probability • Based on mathematical reasoning • What is “expected” to occur P (event) = number of successful outcomes total number of possible outcomes outcome: possible result equally likely outcomes: outcomes that have the same probability of occurring ex: roll a die: 1, 2, 3, 4, 5, 6 are equally likely toss a coin: heads or tails are equally likely (spinner: must have equal sections) sample space: a list of all possible outcomes ex: roll a die (number cube): Sample space S = {1,2,3,4,5,6} Feb 157:07 PM How many outcomes are possible when you toss a coin? How many outcomes are possible when you toss 2 coins at the same time? Feb 102:04 PM How many outcomes are possible if you toss 3 coins at the same time? Feb 101:57 PM 1. Roll a die/number cube: a. How many possible outcomes are there? b. Find P (even number) c. Find P (> 2) 2. Roll 2 dice/number cubes: a. How many possible outcomes are there? b. Find P (sum is 9) c. Find P (sum is 12) d. Find P (sum is 1) Feb 157:07 PM A bag contains 20 marbles: 6 red, 8 black, 4 blue, 2 yellow You pick one at random. Determine the following: a. P (yellow) b. P (red or blue) c. P (not black) d. P (white) Feb 102:24 PM P (red) = P (red) = P (white) = P (blue) = P (not green) = Feb 102:36 PM P (tails) = P (heads) = P (even number) = P (red) = P (2) = P (black) = Feb 157:13 PM "Theoretical" Probabilities Examples of simple events: 1. toss a coin à 2 possible outcomes (Heads or Tails) P (heads) = 1/2 P (tails) = 1/2 2. roll a die or number cubeà 6 possible outcomes (1, 2, 3, 4, 5, 6) P (4) = 1/6 P (odd number: 1,3,5) = 3/6 = ½ 3. pick a marble from a bag: 5 green, 3 blue, 6 red, 1 yellow (15 possible outcomes) P (red): 6/15 = 2/5 = 0.4 = 40% Feb 157:07 PM Experimental Probability • based on actual experiments & repeated trials EXP PROB. (event) = number of successes total number of trials *** the more trials done, the closer the experimental probability will be to the theoretical probability *** Feb 157:07 PM For each of the situations below, what is the theoretical probability ? experimental probability? 1. Toss a coin 30 times P (heads) P (tails) Heads Tails 2. Spin a spinner 20 times P (red) Blue Green Red Yellow Number 1 Frequency 9 2 3 4 5 6 17 16 10 15 13 3. Roll a number cube 80 times. What is the theoretical probability of a 3? 1? Find each experimental probability (as a fraction & percent) based on the frequencies shown in the table: P (3) P (1) 4. Roll a number cube 20 times P (5) Number 1 2 3 4 Frequency Feb 157:07 PM 5 6 Melissa randomly draws a marble from a bag of 72 marbles, then replaces the marble. She does this 30 times and places her results in the frequency table. Based on these results, how many marbles in the bag are white? white: Color Frequency black 10 white 5 grey 15 5 = x 30 72 actual results TOTAL 30 Feb 205:53 PM Julio randomly picked a marble from a bag , then replaced the marble. He did this 25 times and his results are shown in the frequency chart. Based on the table, how many times can Julio expect to draw a red marble in 200 trials? Color Frequency red 16 white 4 blue 5 TOTAL 25 red: 16 = x 200 25 actual results Feb 205:53 PM