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Chapter One Activity Lab #1 Probability Distributions A probability distribution is a function that gives the probability of each outcome in a sample space. You can use a frequency table or graph to show a probability distribution. ! The theoretical probability of rolling each number on a standard number cube is the same: !. It is a uniform distribution , a probability distribution that is equal for each event in the sample space. Here is a table and graph of its probability distribution. Roll Frequency 1 1 2 1 3 1 4 1 5 1 6 1 Probability 1 6 1 6 1 6 1 6 1 6 1 6 Rolling a Number Cube Probability 1 0.8 0.6 0.4 0.2 0 1 2 3 4 5 6 Number Now suppose you roll two standard number cubes. You can show the probability distribution for the sum of the numbers by making a frequency table and drawing a graph. ACTIVITY #1 Roll a pair of standard number cubes 36 times. Record the sum for each roll. 1) Use the frequency table below. Complete the table using your data. Sum 2 3 4 5 6 7 8 9 Frequency 10 11 12 Probability 2) Complete the graph using your data. Sum of Two Number Cubes Probability 1 0.8 0.6 0.4 0.2 0 2 4 6 8 10 12 Sum 3) Make a graph of the probability distribution for the sum of two number cubes rolled 36 times, based on the theoretical probabilities of each sum. Sum of Two Number Cubes Probability 1 0.8 0.6 0.4 0.2 0 2 4 6 8 Sum 10 12 4) Compare the graphs. Do you think the number cubes you rolled are fair? Explain. 5) Explain why there are differences, if any, between the theoretical model and the experimental model. When you assign numerical values to events, the cumulative frequency is the number of times events with values that are less than or equal to given a value occur. Cumulative probability is the probability of events occurring with values that are less than or equal to a given value. You can use the theoretical probabilities that you calculated in Activity #1 to construct a cumulative probability distribution. ACTIVITY #2 1) Complete the table. Add the theoretical probabilities within each range to find the cumulative probabilities. Sum Cumulative Probability 2 to 4 2 to 6 2 to 8 2) Explain why the cumulative probability in the last interval is 1. 2 to 10 2 to 12 3) Complete the graph below using the cumulative probabilities you computed. Probability Cumulative Probability Distribution 1 0.8 0.6 0.4 0.2 0 2 to 4 2 to 6 2 to 8 2 to 10 2 to 12 Sum 4) If you roll a pair of number cubes to model a situation and observe a sum of 7 four times in a row, would you question the model? Explain. 5) If you observed a sum of 2 four times in a row, would you question the model? Explain. 6) Use a table and a graph to show the probability distribution for the spinner {A, B, C, D}. Letter Frequency A B C D Probability Spinning a Spinner Probability 1 0.8 0.6 0.4 0.2 0 A B C Letter D 7) You and a friend are trying to decide who gets to sit in the front passenger seat on an upcoming road trip. Your friend suggests that you decide by rolling two standard number cubes. If the sum of the faces is 2, 3, 4, 10, 11 or 12, you get to sit in the front seat. If the sum of the faces is 5, 6, 7, 8 or 9, she gets to sit in the front seat. Your friend claims that since there are six possible outcomes in which you would get the front seat, but only five in which she would get the front seat, you would be more likely to get the front seat using this method. Should you go along with her suggestion? Support your conclusion by making a probability distribution.