Exam 8: Continuous Probability Distributions

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If your golf score is 3 standard deviations below the mean,its corresponding value on the Z distribution is -3.

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The value of a chi-squared distribution with 5 degrees of freedom such that the area to its left is 0.10 is 1.61.

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A random variable with density function e-x for x ≥\ge 0 has an exponential distribution whose mean is ____________________.

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The value of an F distribution with v1 = 5 and v2 = 10 degrees of freedom such that the area to its left is 0.95 is 3.33.

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Subway Waiting Time At a subway station the waiting time for a subway is found to be uniformly distributed between 1 and 5 minutes. -{Subway Waiting Time Narrative} What is the probability density function for this uniform distribution?

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____________________ the value of σ\sigma in a normal distribution will make it wider.

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The mean and the variance of an exponential distribution are equal to each other.

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P(Z > 1.9)= ____________________ P(Z < 1.9).

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The mean and variance of a c2 distribution approach ____________________ as the degrees of freedom increase.

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The variance of a χ\chi 2 distribution is twice the value of its mean.

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Suppose X has an exponential distribution with mean 2.Find f(x).

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The shape of the density function for an exponential distribution is ____________________.

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If P(χ2>χ.025,ν2)=14.4P \left( \chi ^ { 2 } > \chi _ { .025 , \nu } ^ { 2 } \right) = 14.4 ,then the number of degrees of freedom v is:

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The y-intercept of the density function for an exponential distribution with parameter 10 is ____________________.

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The exponential distribution is suitable to model the length of time that elapses before the first telephone call is received by a switchboard.

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The probability that a standard normal random variable Z is less than -3.5 is approximately 0.

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In the standard normal distribution,z0.05 = 1.645 means that 5% of all values of z are below 1.645 and 95% are above it.

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A random variable X has a normal distribution with mean 132 and variance 36.If x = 120,its corresponding value of Z is 2.0.

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Counter Sales Suppose that customers arrive at a counter at an average rate of three customers per minute and that their arrivals follow the Poisson model. -{Counter Sales Narrative} Write the probability density function of the distribution of the time that will elapse before the next customer arrives.

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Battery Life A certain brand of batteries has a lifetime that has a normal distribution with a mean of 3,750 hours and a standard deviation of 300 hours. -{Battery Life Narrative} What proportion of these batteries will last for more than 4,000 hours?

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