Exam 5: Probability Distributions

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Answer the question. -Spinning a roulette wheel 3 times, keeping track of the winning numbers.

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Solve the problem. -Find the variance for the given probability distribution. () 0 0.17 1 0.28 2 0.05 3 0.15 4 0.35

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In a certain college, 33% of the physics majors belong to ethnic minorities. If 10 students are selected at random from the physics majors, that is the probability that no more than 6 belong to an ethnic minority?

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Provide an appropriate response. -Identify each of the variables in the Binomial Probability Formula. P(x)=n!(n−x)!x!⋅px⋅qn−xP ( x ) = \frac { n ! } { ( n - x ) ! x ! } \cdot p ^ { x } \cdot q ^ { n - x } Also, explain what the fraction n!(n−x)!x!\frac { n ! } { ( n - x ) ! x ! } computes.

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Provide an appropriate response. -Sampling without replacement involves dependent events, so this would not be considered a binomial experiment. Explain the circumstances under which sampling without replacement could be considered independent and, thus, binomial.

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Suppose that computer literacy among people ages 40 and older is being studied and that the accompanying tables describes the probability distribution for four randomly selected people, where x is the number that are computer literate. Is it unusual to find four computer literates among four randomly selected people? x P(x) 0 0.16 1 0.25 2 0.36 3 0.15 4 0.08

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Use the normal distribution to approximate the desired probability. -Find the probability of selecting 12 or more girls.

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Determine whether the given procedure results in a binomial distribution. If not, state the reason why. - n=4,x=3,p=16n = 4 , x = 3 , p = \frac { 1 } { 6 }

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An airline estimates that 98% of people booked on their flights actually show up. If the airline books 76 people on a flight for which the maximum number is 74, what is the probability that the number of people who show up will exceed the capacity of the plane?

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Use the normal distribution to approximate the desired probability. -Find the probability of selecting exactly 8 girls.

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Determine whether the given procedure results in a binomial distribution. If not, state the reason why. - ρ=16\rho = \frac { 1 } { 6 } n = 6, x = 3,

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Assume that a probability distribution is described by the discrete random variable x that can assume the values 1, 2, . . . , n; and those values are equally likely. This probability has mean and standard deviation described as follows: μ=n+12 and σ=n2−112\mu = \frac { \mathrm { n } + 1 } { 2 } \text { and } \sigma = \sqrt { \frac { \mathrm { n } ^ { 2 } - 1 } { 12 } } Show that the formulas hold for the case of n = 7.

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A test consists of 10 true/false questions. To pass the test a student must answer at least 7 questions correctly. If a student guesses on each question, what is the probability that the student will pass the test?

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Identify the given random variable -The number of oil spills occurring off the Alaskan coast

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Solve the problem. -In a certain town, 40% of adults have a college degree. The accompanying table describes the probability distribution for the number of adults (among 4 randomly selected adults)who have a college degree. Find the standard deviation for the probability distribution. () 0 0.1296 1 0.3456 2 0.3456 3 0.1536 4 0.0256

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Determine whether the following is a probability distribution. If not, identify the requirement that is not satisfied. -If a person is randomly selected from a certain town, the probability distribution for the number, x, of siblings is as described in the accompanying table. () 0 0.27 1 0.29 2 0.23 3 0.10 4 0.08 5 0.02

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Solve the problem. -A 28-year-old man pays $57 for a one-year life insurance policy with coverage of $100,000. If the probability that he will live through the year is 0.9992, what is the expected value for the insurance policy?

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Provide an appropriate response. -List the two requirements for a probability histogram. Discuss the relationship between the sum of the probabilities in a probability distribution and the total area represented by the bars in a probability histogram.

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Solve the problem. -The probabilities that a batch of 4 computers will contain 0, 1, 2, 3, and 4 defective computers are 0.4521, 0.3970, 0.1307, 0.0191, and 0.0010, respectively. Find the variance for the probability distribution.

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Use the given values of n and p to find the minimum usual value µ - 2? and the maximum usual value µ + 2? - n=604,p=47n = 604 , p = \frac { 4 } { 7 }

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