Exam 6: Continuous Random Variables

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If the distances between the ordered data values are proportional to the distances between the actual values,then the normal probability plot will be a straight line.

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The price-to-earnings ratio for firms in a given industry is distributed according to the normal distribution.In this industry,a firm with a standard normal variable value of z = 1

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The normal probability distribution is a discrete probability distribution.

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Values of the standard normal random variable are measured

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A property of continuous distributions is that

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The actual weight of hamburger patties is an example of a continuous random variable.

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In a statistical study,the random variable X = 1 if the house is colonial,and X = 0 if the house is not colonial.The random variable X is continuous.

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A continuous probability distribution having a rectangular shape,where the probability is evenly distributed over an interval of numbers,is called a uniform probability distribution.

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The standardized normal quantile value Oi is the z value that gives an area of i/(n − 1)to its right under the normal curve.

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A continuous random variable may assume only integer values in a given interval.

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All continuous random variables are normally distributed.

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For a continuous random variable x,the height of the probability curve f(x)at a particular point indicates the value of the probability for that value.

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The area under the normal curve between z = 0 and z = 1 is ________________ the area under the normal curve between z = 1 and z = 2.

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The mean of a standard normal distribution is always equal to 1.

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The mean life of a pair of shoes is 40 months with a standard deviation of 8 months.If the life of the shoes is normally distributed,how many pairs of shoes out of one million will need replacement before 36 months?

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The ___________ is a graphic that is used to check visually whether data come from a normal population.

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The number of defective pencils in a lot of 1000 is an example of a continuous random variable.

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The _____________ distribution would most likely be used to describe the distribution of time between arrivals of customers at the grocery store.

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The mean and median are the same for an exponential distribution.

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The exponential probability distribution is based on a continuous random variable.

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