Exam 7: Continuous Probability Distributions

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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 standard deviation of a normal random variable X is $20.Given that P(X ≤ $10)= 0.1841.From this we can determine that the mean of the distribution is equal to:

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The normal is a good approximation to the binomial when n is greater than or equal to 10.

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If the random variable Z has a standard normal distribution,then P(1.25 ≤ Z ≤ 2.17)is:

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The true proportion of accounts receivable with some kind of error is 4 percent for Venal Enterprises.If an auditor randomly samples 50 accounts receivable,it is acceptable to use the normal approximation to estimate the probability that fewer than two will contain errors.

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If the random variable Z has a standard normal distribution,then P(Z ≤ -1.37)is:

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In a continuous distribution:

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Any two normal curves are the same except for their:

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The normal distribution is a good approximation to the binomial if n = 200 and π = .03.

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The probability is .80 that a standard normal random variable is between -z and +z.The value of z is approximately:

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The normal distribution is a good approximation to the binomial if n = 25 and π = .50.

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Which statement is incorrect?

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If arrivals occur at a mean rate of 1.6 events per minute,the exponential probability of waiting less than 1 minute for the next arrival is:

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A letter is mailed to a sample of 500 homeowners.Based on past experience,the probability of an undeliverable letter is 0.06.The normal approximation to the binomial probability of 40 or more undeliverable letters is:

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A machine dispenses water into a glass.Assuming that the amount of water dispensed follows a continuous uniform distribution from 10 ounces to 16 ounces,what is the probability that 13 or more ounces will be dispensed in a given glass?

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Bob used a triangular distribution of T(20,30,61)to represent his daily commute time (minutes).Which statement is incorrect?

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The triangular distribution is symmetric.

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Excel's =RAND()function produces random numbers that are uniformly distributed from 0 to 1.What is the probability that the random number exceeds .75?

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A random variable X is best described by a continuous uniform distribution from 20 to 45 inclusive.The standard deviation of this distribution is approximately:

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A certain assembly line at Vexing Manufacturing Company averages 30 minutes between breakdowns.What is the probability that less than 6 minutes will elapse before the next breakdown?

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