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1、統(tǒng)計(jì)學(xué)基礎(chǔ)(英文版第7版)教學(xué)課件les7e_ppt_04_02-(1)統(tǒng)計(jì)學(xué)基礎(chǔ)(英文版第7版)教學(xué)課件les7e_ppt_Chapter Outline4.1 Probability Distributions4.2 Binomial Distributions4.3 More Discrete Probability Distributions.Chapter Outline4.1 ProbabilitySection 4.2Binomial Distributions.Section 4.2Binomial DistributiSection 4.2 ObjectivesHow to

2、determine whether a probability experiment is a binomial experimentHow to find binomial probabilities using the binomial probability formulaHow to find binomial probabilities using technology, formulas, and a binomial probability tableHow to construct and graph a binomial distributionHow to find the

3、 mean, variance, and standard deviation of a binomial probability distribution.Section 4.2 ObjectivesHow to dBinomial ExperimentsThe experiment is repeated for a fixed number of trials, where each trial is independent of other trials.There are only two possible outcomes of interest for each trial. T

4、he outcomes can be classified as a success (S) or as a failure (F).The probability of a success, P(S), is the same for each trial.The random variable x counts the number of successful trials.Binomial ExperimentsThe experiNotation for Binomial ExperimentsSymbolDescriptionnThe number of times a trial

5、is repeatedpThe probability of success in a single trialqThe probability of failure in a single trial (q = 1 p)xThe random variable represents a count of the number of successes in n trials: x = 0, 1, 2, 3, , n.Notation for Binomial ExperimeExample: Identifying and Understanding Binomial Experiments

6、Decide whether each experiment is a binomial experiment. If it is, specify the values of n, p, and q, and list the possible values of the random variable x. If it is not, explain why.A certain surgical procedure has an 85% chance of success. A doctor performs the procedure on eight patients. The ran

7、dom variable represents the number of successful surgeries.Example: Identifying and UnderSolution: Identifying and Understanding Binomial ExperimentsBinomial ExperimentEach surgery represents a trial. There are eight surgeries, and each one is independent of the others.There are only two possible ou

8、tcomes of interest for each surgery: a success (S) or a failure (F).The probability of a success, P(S), is 0.85 for each surgery.The random variable x counts the number of successful surgeries.Solution: Identifying and UndeSolution: Identifying and Understanding Binomial ExperimentsBinomial Experime

9、ntn = 8 (number of trials)p = 0.85 (probability of success)q = 1 p = 1 0.85 = 0.15 (probability of failure)x = 0, 1, 2, 3, 4, 5, 6, 7, 8 (number of successful surgeries).Solution: Identifying and UndeExample: Identifying and Understanding Binomial ExperimentsDecide whether each experiment is a binom

10、ial experiment. If it is, specify the values of n, p, and q, and list the possible values of the random variable x. If it is not, explain why.A jar contains five red marbles, nine blue marbles, and six green marbles. You randomly select three marbles from the jar, without replacement. The random var

11、iable represents the number of red marbles.Example: Identifying and UnderSolution: Identifying and Understanding Binomial ExperimentsNot a Binomial ExperimentThe probability of selecting a red marble on the first trial is 5/20. Because the marble is not replaced, the probability of success (red) for

12、 subsequent trials is no longer 5/20.The trials are not independent and the probability of a success is not the same for each trial.Solution: Identifying and UndeBinomial Probability FormulaBinomial Probability FormulaThe probability of exactly x successes in n trials isn = number of trialsp = proba

13、bility of successq = 1 p probability of failurex = number of successes in n trialsNote: number of failures is n x.Binomial Probability FormulaBiExample: Finding a Binomial ProbabilityRotator cuff surgery has a 90% chance of success. The surgery is performed on three patients. Find the probability of

14、 the surgery being successful on exactly two patients. (Source: The Orthopedic Center of St. Louis).Example: Finding a Binomial PrSolution: Finding a Binomial ProbabilityMethod 1: Draw a tree diagram and use the Multiplication Rule.Solution: Finding a Binomial PSolution: Finding a Binomial Probabili

15、tyMethod 2: Use the binomial probability formula.Solution: Finding a Binomial PBinomial Probability DistributionBinomial Probability DistributionList the possible values of x with the corresponding probability of each.Example: Binomial probability distribution for Microfacture knee surgery: n = 3, p

16、 = Use binomial probability formula to find probabilities.x0123P(x)0.0160.1410.4220.422.Binomial Probability DistributExample: Constructing a Binomial DistributionIn a survey, U.S. adults were asked to identify which social media platforms they use. The results are shown in the figure. Six adults wh

17、o participated in the survey are randomly selected and asked whether they use the social media platform Facebook. Construct a binomial probability distribution for the number of adults who respond yes. (Source: Pew Research).Example: Constructing a BinomiSolution: Constructing a Binomial Distributio

18、np = 0.68 and q = 0.32n = 6, possible values for x are 0, 1, 2, 3, 4, 5 and 6.Solution: Constructing a BinomSolution: Constructing a Binomial DistributionNotice in the table that all the probabilities are between 0 and 1 and that the sum of the probabilities is 1.Solution: Constructing a BinomExampl

19、e: Finding a Binomial Probabilities Using TechnologyA survey found that 26% of U.S. adults believe there is no difference between secured and unsecured wireless networks. (A secured network uses barriers, such as firewalls and passwords, to protect information; an unsecured network does not.) You ra

20、ndomly select 100 adults. What is the probability that exactly 35 adults believe there is no difference between secured and unsecured networks? Use technology to find the probability. (Source: University of Phoenix).Example: Finding a Binomial PrSolution: Finding a Binomial Probabilities Using Techn

21、ology.SolutionMinitab, Excel, StatCrunch, and the TI-84 Plus each have features that allow you to find binomial probabilities. Try using these technologies. You should obtain results similar to these displays.Solution: Finding a Binomial PSolution: Finding a Binomial Probabilities Using Technology.S

22、olutionFrom these displays, you can see that the probability that exactly 35 adults believe there is no difference between secured and unsecured networks is about 0.012. Because 0.012 is less than 0.05, this can be considered an unusual event.Solution: Finding a Binomial PExample: Finding Binomial P

23、robabilities Using FormulasA survey found that 17% of U.S. adults say that Google News is a major source of news for them. You randomly select four adults and ask them whether Google News is a major source of news for them. Find the probability that (1) exactly two of them respond yes, (2) at least

24、two of them respond yes, and (3) fewer than two of them respond yes. (Source: Ipsos Public Affairs).Example: Finding Binomial ProbSolution: Finding Binomial Probabilities Using Formulas.Solution: Finding Binomial ProSolution: Finding Binomial Probabilities Using FormulasSolutionTo find the probabili

25、ty that at least two adults will respond yes, find the sum of P(2), P(3), and P(4). Begin by using the binomial probability formula to write an expression for each probability.P(2) = 4C2(0.17)2(0.83)2 = 6(0.17)2(0.83)2P(3) = 4C3(0.17)3(0.83)1 = 4(0.17)3(0.83)1P(4) = 4C4(0.17)4(0.83)0 = 1(0.17)4(0.83

26、)0.Solution: Finding Binomial ProSolution: Finding Binomial Probabilities Using Formulas.Solution: Finding Binomial ProSolution: Finding Binomial Probabilities Using Formulas.Solution: Finding Binomial ProExample: Finding a Binomial Probability Using a TableAbout 10% of workers (ages 16 years and ol

27、der) in the United States commute to their jobs by carpooling. You randomly select eight workers. What is the probability that exactly four of them carpool to work? Use a table to find the probability. (Source: American Community Survey)Solution:Binomial with n = 8, p = 0.1, x = 4.Example: Finding a

28、 Binomial PrSolution: Finding Binomial Probabilities Using a TableA portion of Table 2 is shownAccording to the table, the probability is 0.005.Solution: Finding Binomial ProSolution: Finding Binomial Probabilities Using a TableYou can check the result using technology.So, the probability that exact

29、ly four of the eight workers carpool to work is 0.005. Because 0.005 is less than 0.05, this can be considered an unusual event.Solution: Finding Binomial ProExample: Graphing a Binomial DistributionSixty-two percent of cancer survivors are ages 65 years or older. You randomly select six cancer surv

30、ivors and ask them whether they are 65 years of age or older. Construct a probability distribution for the random variable x. Then graph the distribution. (Source: National Cancer Institute)Solution: n = 6, p = 0.62, q = 0.38Find the probability for each value of x.Example: Graphing a Binomial DSolu

31、tion: Graphing a Binomial Distribution.Notice in the table that all the probabilities are between 0 and 1 and that the sum of the probabilities is 1.Solution: Graphing a Binomial Solution: Graphing a Binomial DistributionHistogram:.From the histogram, you can see that it would be unusual for none or only one of the survivors to be age 65 years or older because both probabilities are less than 0.05.Solution: Grap

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