A machine is set to pump cleanser into a process at the rate of 6 gallons per minute. Upon inspection, it is learned that the machine actually
pumps cleanser at a rate described by the uniform distribution over the interval 5.5 to 8.5 gallons per minute. What is the probability that at the time the machine is checked it is pumping more than 7.0 gallons per minute?
A) .7692 B) .25 C) .667 D) .50
Q. 2Sample statistics are random variables, because different samples can lead to different values of the sample statistics.
A) True B) False
Q. 3When estimating the population mean, the sample mean is always a better estimate than the sample median.
A) True B) False
Q. 4The diameters of ball bearings produced in a manufacturing process can be described using a uniform distribution over the interval 6.5 to 8.5 millimeters.
What is the probability that a randomly selected ball bearing has a diameter greater than 7.4 millimeters?
A) 0.8706 B) 3.5 C) 0.4933 D) 0.55
Q. 5The term statistic refers to a population quantity, and the term parameter refers to a sample quantity.
A) True B) False
Q. 6Suppose x is a uniform random variable with c = 10 and d = 50. Find P(13 < x < 45).
Round to the nearest hundredth when necessary.
A) 0.5 B) 0.2 C) 0.8 D) 1
Q. 7The probability of success, p, in a binomial experiment is a parameter, while the mean and standard deviation, and , are statistics.
A) True B) False
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