Exam 6: Continuous Distributions

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The expected (mean)life of a particular type of light bulb is 1,000 hours with a standard deviation of 50 hours.The life of this bulb is normally distributed.Which most closely reflects the probability that a randomly selected bulb would last longer than 1150 hours?

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If the probability of a binomial distribution was considering values that were greater than 14, then the correction for continuity would start at 13.5.

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A recent market study has determined that the probability that a young adult would be willing to try a new online financial service that your company is offering is 50%.In a random sample of 10 young adults, the probability that exactly 5 will be willing to try this new service is _________, and the approximate probability (using the normal distribution is)_________.

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Employees arrive at a cafeteria according to a Poisson process at an average rate of 30 employees per hour.The probability that after one employee arrives, the next one will arrive at least 3 minutes later is _________.

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If x is uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then P(x < 7)is __________________.

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Correcting for continuity is necessary when a researcher is using a discrete distribution to estimate probabilities from a continuous distribution.

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If x, the time (in minutes)to complete an oil change job at certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the mean of this distribution is __________________.

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If x, the time (in minutes)to complete an oil change job at certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the height of this distribution, f(x), is __________________.

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If arrivals at a bank followed a Poisson distribution, then the time between arrivals would follow a binomial distribution.

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Sure Stone Tire Company has established that the useful life of a particular brand of its automobile tires is normally distributed with a mean of 40,000 miles and a standard deviation of 5000 miles.Which probability most closely reflects that a randomly selected tire of this brand has a life between 30,000 and 50,000 miles?

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Employees arrive at a cafeteria according to a Poisson process at an average rate of 30 employees per hour.The average waiting time between employees' arrivals is _________ minutes.

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The expected (mean)life of a particular type of light bulb is 1,000 hours with a standard deviation of 50 hours.The life of this bulb is normally distributed.Which most closely reflects the probability that a randomly selected bulb would last fewer than 1100 hours?

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Let x be a binomial random variable with n=50 and p=.3.If we use the normal distribution to approximate probabilities for this, a correction for continuity should be made.To find the probability of more than 15 successes, we should find _______.

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If x, the time (in minutes)to complete an change job at certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the probability that an oil change job is completed in 25 to 28 minutes, inclusively, i.e., P(25 \le x \le 28)is __________________.

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The average time between phone calls arriving at a call center is 30 seconds.Assuming that the time between calls is exponentially distributed, find the probability that less than two minutes elapse between calls.

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A z-score is the number of standard deviations that a value of a random variable is above or below the mean.

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Normal distribution is a symmetrical distribution with its tails extending to infinity on either side of the mean.

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The total area underneath any normal curve is equal to _______.

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For an exponential distribution, the mean and the median are equal.

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If x, the time (in minutes)to complete an change job at certain auto service station, is uniformly distributed over the interval 20 to 30, inclusively (20 \le x \le 30), then the probability that an oil change job is completed in less than 17 minutes, i.e., P(x < 17)is __________________.

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