Exam 6: Discrete Probability Distributions

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When observing a check-out line at a food store, the average number of people served is 15 per hour. Using the Poisson distribution, what is the probability that 10 people check out in any given hour?

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0.049

To construct a binomial distribution we need to know the ___________ and the probability of a success.

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number of trials

For the following distribution, For the following distribution,   What is the variance of the distribution? What is the variance of the distribution?

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In a Poisson distribution, the probability of success may vary from trial to trial.

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Sponsors of a local charity decided to attract wealthy patrons to its $500-a-plate dinner by allowing each patron to buy a set of 20 tickets for the gaming tables. The chance of winning a prize for each of the 20 plays is 50-50. If you bought 20 tickets, what is the chance of winning 15 or more prizes?

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David's gasoline station offers 4 cents off per gallon if the customer pays in cash and does not use a credit card. Past evidence indicates that 40% of all customers pay in cash. During a one-hour period twenty-five customers buy gasoline at this station. This situation is an example of what type of discrete probability distribution?

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A company is studying the number of monthly absences among its 125 employees. The following probability distribution shows the likelihood that people were absent 0, 1, 2, 3, 4, or 5 days last month. A company is studying the number of monthly absences among its 125 employees. The following probability distribution shows the likelihood that people were absent 0, 1, 2, 3, 4, or 5 days last month.   What is the mean number of days absent? What is the mean number of days absent?

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There are eight flights from Minneapolis to St. Cloud each day. The probability that any one flight is late is 0.10. Using the binomial probability formula, what is the probability that 1 or more are late?

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Sweetwater & Associates write weekend trip insurance at a very nominal charge. Records show that the probability that a motorist will have an accident during the weekend and file a claim is 0.0005. Suppose they wrote 400 policies for the coming weekend, what is the probability that exactly two claims will be filed?

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The arrival of customers at a service desk follows a Poisson distribution. If they arrive at a rate of four every five minutes, what is the probability that more than four customers arrive in a five minute period? ________

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For the following probability distribution, For the following probability distribution,   The standard deviation is _____________. The standard deviation is _____________.

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For the following distribution, For the following distribution,   What is the mean of the distribution? What is the mean of the distribution?

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A machine shop has 100 drill presses and other machines in constant use. The probability that a machine will become inoperative during a given day is 0.002. During some days no machines are inoperative, but during some days, one, two, three or more are broken down. What is the probability that fewer than two machines will be inoperative during a particular day?

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What is unique to the Poisson distribution?

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Carlson Jewelers permits the return of their diamond wedding rings, provided the return occurs within two weeks of the purchase date. Their records reveal that 10 percent of the diamond wedding rings are returned. Five different customers buy five rings. What is the probability that none will be returned?

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Judging from recent experience, 5 percent of the computer keyboards produced by an automatic, high-speed machine are defective. If six keyboards are randomly selected, what is the probability that none of the keyboards are defective?

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Elly's hot dog emporium is famous for its chilidogs. Elly's latest sales indicate that 30% of the customers order their chilidogs with hot peppers. Suppose 18 customers are selected at random. What is the probability that exactly ten customers will ask for hot peppers? _______

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To construct a binomial distribution, it is necessary to know the total number of trials and the probability of success on each trial.

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In which of the following discrete distribution does the probability of a success vary from one trial to the next?

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For a binomial distribution, the mean is 4.0 and n = 8. What is π\pi for this distribution?

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