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QUESTION 1

1. A numerical description of the outcome of an experiment is called a

		descriptive statistic
		probability function
		variance
		random variable

QUESTION 2

1. A random variable that can assume only a finite number of values is referred to as a(n)

		infinite sequence
		finite sequence
		discrete random variable
		discrete probability function

QUESTION 3

1. A random variable that may take on any value in an interval or collection of intervals is known as a

		continuous random variable
		discrete random variable
		continuous probability function
		finite probability function

QUESTION 4

1. A description of the distribution of the values of a random variable and their associated probabilities is called a

		probability distribution
		random variance
		random variable
		expected value

QUESTION 5

1. The expected value for a binomial probability distribution is

		E(x) = Pn(1 - n)
		E(x) = P(1 - P)
		E(x) = nP
		E(x) = nP(1 - P)

QUESTION 6

1. The variance for the binomial probability distribution is

		var(x) = P(1 - P)
		var(x) = nP
		var(x) = n(1 - P)
		var(x) = nP(1 - P)

QUESTION 7

1. Which of the following is not a characteristic of an experiment where the binomial probability distribution is applicable?

		the experiment has a sequence of n identical trials
		exactly two outcomes are possible on each trial
		the trials are dependent
		the probabilities of the outcomes do not change from one trial to another

QUESTION 8

1. The number of electrical outages in a city varies from day to day. Assume that the number of electrical outages (x) in the city has the following probability distribution. x f(x) 0 0.80 1 0.15 2 0.04 3 0.01 The mean and the standard deviation for the number of electrical outages (respectively) are 

		2.6 and 5.77
		0.26 and 0.577
		3 and 0.01
		0 and 0.8

QUESTION 9

1. The center of a normal curve is

		always equal to zero
		is the mean of the distribution
		cannot be negative
		is the standard deviation

QUESTION 10

1. A normal distribution with a mean of 0 and a standard deviation of 1 is called

		a probability density function
		an ordinary normal curve
		a standard normal distribution
		none of these alternatives is correct

QUESTION 11

1. A negative value of Z indicates that

		the number of standard deviations of an observation is to the right of the mean
		the number of standard deviations of an observation is to the left of the mean
		a mistake has been made in computations, since Z cannot be negative
		the data has a negative mean

QUESTION 12

1. Which of the following is not a characteristic of the normal probability distribution?

		The mean, median, and the mode are equal
		The mean of the distribution can be negative, zero, or positive
		The distribution is symmetrical
		The standard deviation must be 1

QUESTION 13

1. Z is a standard normal random variable. The P (1.41 ≤ Z ≤ 2.85) equals 

		0.4978
		0.4207
		0.9185
		0.0771

QUESTION 14

1. X is a normally distributed random variable with a mean of 8 and a standard deviation of 4. The probability that X is between 1.48 and 15.56 is

		0.0222
		0.4190
		0.5222
		0.9190

QUESTION 15

1. Larger values of the standard deviation result in a normal curve that is

		shifted to the right
		shifted to the left
		narrower and more peaked
		wider and flatter