Exam 8: Continuous Distributions

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Let z be a normal random variable with mean 0 and standard deviation 1. The 75th percentile of z is ___.

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Completion time (from start to finish) of a building remodeling project is normally distributed with a mean of 200 work-days and a standard deviation of 10 work-days. To be 99% sure that we will  not \textbf{ not } be late in completing the project, we should request a completion time of ___ work-days.

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Suppose the mean time to fill a routine prescription at a local pharmacy is 35 minutes based on the time the physician places the order to the time it is dispensed. Assume the standard deviation is 11 minutes and the z score is 0. What is x?

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In a standard normal distribution, if the area under curve to the right of a z-value is 0.10, then the area to the left of the same z-value is -0.10.

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If x is continuously distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then the probability, P(13 \le x \le 15), is ___.

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The area to the left of the mean in any normal distribution is equal to ___.

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Suppose you are working with a data set that is normally distributed with a mean of 400 and a standard deviation of 20. Determine the value of x such that 60% of the values are greater than x.

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The normal distribution is an example of ___.

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Completion time (from start to finish) of a building remodeling project is normally distributed with a mean of 200 work-days and a standard deviation of 10 work-days. The probability that the project will be completed within 185 work-days is ___.

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The area under the standard normal distribution between -1 and 1 is twice the area between 0 and 1.

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A uniform continuous distribution is also referred to as a rectangular distribution.

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

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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 will be completed 24 minutes or more, i.e., P(x \geq 24) is ___.

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Let z be a normal random variable with mean 0 and standard deviation 1. What is P(z > -1.1)?

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If x is continuously uniformly distributed over the interval 8 to 12, inclusively (8 \le x \le 12), then P(x \geq 10) is ___.

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Since a normal distribution curve extends from minus infinity to plus infinity, the area under the curve is infinity.

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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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Within a range of z scores from -1 to +1, you can expect to find ___ per cent of the values in a normal 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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Let z be a normal random variable with mean 0 and standard deviation 1. What is P(z < -2.1)?

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