* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download Math 1313 Section 6.1 experiment
Survey
Document related concepts
Transcript
Math 1313 Section 6.1 Section 6.1: Experiments, Events, and Sample Spaces An experiment is an activity with observable results (outcomes). A sample point is an outcome of an experiment. A sample space is a set consisting of all possible sample points of an experiment. A Finite Sample Space is a sample space with finitely many outcomes. An event is a subset of a sample space of an experiment. Given two events, E and F: The union of E and F is denoted by ∪ . The intersection of E and F is denoted by ∩ . If ∩ = Ø then E and F are called mutually exclusive. (An event is mutually exclusive also means that two events that cannot happen at the same time, such as getting a head and a tail on the same toss of a coin). The complement of an event is and is the set of all outcomes in a sample space that is not in E. Example 1: Consider the experiment of tossing a die. a. Describe the sample space, S, of this experiment. b. Let E be the event that an even number is tossed and F be the event that a prime number is tossed. Describe E and F in set notation then find the following: ∪ = ∩ = = ∪ = 1 Math 1313 Section 6.1 Example 2: A sample of 3 apples taken from a fruit stand is examined to determine whether they are good or rotten. The sample space S = {GGG, GGR, GRG, GRR, RGG, RGR, RRG, RRR}. Let E be the event that at least 1 apple is good and let F be the event that exactly 2 apples are rotten. Find the events. Example 3: An experiment consists of selecting a letter at random from the letters in the word DALLAS and observing the outcomes. a. What is an appropriate sample space for this experiment? b. Describe the event “the letter selected is a vowel.” Example 4: Describe a sample space associated with the experiment of tossing 2 fair coins. Describe the event of having the same outcome on each coin. Popper 1: Given the following sample space, describe the event of selecting a prime number. = {1, 2, 3, 4, 6, 8, 9, 11, 12, 15, 16, 18, 19, 20} a. b. c. d. e. E = {2, 4, 8, 16} E = {1, 2, 3, 9, 11, 19} E = {2, 3, 11, 19} E = {1, 3, 9, 11, 15, 19} None of the above 2 Math 1313 Section 6.2 Section 6.2: Introduction to Probability The ratio is the relative frequency of an event E that occurs m times after n repetitions. Note: The probability of an event is a number that lies between 0 and 1, inclusive. If S={s1, s2 ,…, sn } is a finite sample space with n outcomes, then the events {s1}, {s2},…, {sn} are called simple events of the experiment. Once probabilities are assigned to each of these simple events, we obtain a probability distribution. The probabilities, P(s1), P(s2),…, P(sn) have the following properties: 1. 0 ≤ Pሺs୧ ሻ ≤ 1, i = ሼ1, 2, 3, … , nሽ 2. Pሺsଵ ሻ + Pሺsଶ ሻ + ⋯ + Pሺs୬ ሻ = 1 3. P൫s ∪ s ൯ = Pሺs ሻ + P൫s ൯, ݅ ≠ ݆ and ݅, ݆ = 1,2,3, … n Example 1: A fair die is cast. List the simple events. A sample space in which the outcomes of an experiment are equally likely to occur is called a uniform sample space. Let S={s1, s2,…, sn} be a uniform sample space. Then ܲሺsଵ ሻ = ܲሺsଶ ሻ = ⋯ = ܲሺs ሻ = 1 ݊ Finding the probability of an Event E: 1. Determine the sample space S. 2. Assign probabilities to each of the simple events of S. 3. If E={ s1, s2,…, sk} where {s1}, {s2},…, {sk} are simple events then ܲሺ ܧሻ = ܲሺݏଵ ሻ + ܲሺsଶ ሻ + ⋯ + ܲሺs ሻ Note: If E = Ø then P(E) = 0. 1 Math 1313 Section 6.2 Example 2: The accompanying data were obtained from a survey of Americans who were asked: How safe are American-made consumer products Rating Very Safe Somewhat safe Not too safe Not safe at all Don't know Number of Respondents 76 244 60 8 12 Find the probability distribution associated with this experiment. Example 3: A pair of fair dice is cast. What is the probability that a. the sum of the numbers shown is less than 5? b. at least one 6 is cast? c. you roll doubles? 2 Math 1313 Section 6.2 Example 4: If one card is drawn from a well-shuffled standard 52-card deck, what is the probability that the card drawn is a. A club? b. A red card? c. A seven? d. A face card? e. A black 9? 3 Math 1313 Section 6.2 Popper 3: A pair of fair dice is cast. What is the probability that the sum of the numbers falling uppermost is 7? a. 0.5833 b. 0.1667 c. 0.1944 d. None of the above Example 5: A survey was taken in a certain community about the number of the radios in the house, the probability distribution was constructed: Number of Radios Probability 0 1 2 3 0.01 0.09 0.53 0.37 What is the probability of a house chosen at random from this community having, a. 1 or 2 radios? b. more than 1 radio? c. not even one radio? Popper 2: If one card is drawn from a well-shuffled standard 52-card deck, what is the probability that the card drawn is a red six? a. b. c. d. e. 1/52 1/26 1/13 2/13 None of the above 4 Math 1313 Section 6.3 Section 6.3: Rules of Probability Let S be a sample space, E and F are events of the experiment then, 1. P ≥ 0, for any event E. 2. P = 1 3. If E and F are mutually exclusive, ∩ = Ø, then ∪ = + . (Note that this property can be extended to a finite number of events.) 4. If E and F are not mutually exclusive, ∩ ≠ Ø, then ∪ = + – ∩ (Note that this property can be extended to a finite number of events.) 5. (Rule of Complements) If E is an event and Ec denotes the complement of E then = 1 – . Example 1: An experiment consists of selecting a card at random from a well-shuffled deck of 52 playing cards. Find the probability that an ace or a spade is drawn. Example 2: Let E and F be two events and suppose that = 0.37, = 0.3 and P ∩ = 0.08. Compute a. ∪ b. c. ∩ 1 Math 1313 Section 6.3 Popper 4: Let E and F be two events and suppose that = 0.43, = 0.38 and P ∩ = 0.08. Find P(EC) a. b. c. d. 0 0.43 0.62 0.57 Example 2: The SAT Math scores of a senior class at a high school are shown in the table. Range of Scores > 700 # of Students in the Range 16 600 < ≤ 700 94 500 < ≤ 600 165 400 < ≤ 500 309 300 < ≤ 400 96 < 300 20 a. Construct the probability distribution for the data. b. If a student is selected at random, what is the probability that his or her score was: i. More than 500? ii. Less than or equal to 400? iii. Greater the 400 but less than or equal 700? 2