Chapter 5: Discrete Probability Distributions

Weight is an example of a discrete random variable
1. True
2. False
The number of questions that you answer correctly on this practice quiz is an example of a discrete random variable.
1. True
2. False
The number of defective items produced is an example of a discrete random variable.
1. True
2. False
The expected value of a random variable is the most likely value of the random variable.
1. True
2. False
The expected value for a random variable must be a possible value of that random variable.
1. True
2. False
An analyst believes that the earnings per share for Company A for the next fiscal year will have the following distribution:

The analysts expected earnings per share for company A is
1. $1.18
2. $1.187
3. $1.19
4. $1.193
5. None of the above
An analyst believes that the earnings per share for Company A for the next fiscal year will have the following distribution:

The standard deviation of the earnings per share estimates for company A is
1. 0.002
2. 0.0135
3. 0.0141
4. 0.0158
5. None of the above
Which of the following is not a property of the binomial experiment?
1. The trials are independent.
2. The experiment consists of a sequence of n identical trials.
3. The probability of success does not change from trial to trial.
4. There are k possible outcomes on each trial, where k is any positive integer
5. All of the above are properties of a binomial experiment
x is a binomial random variable with n = 10 and p = .2. Find E(x).
1. 0.2
2. 1.6
3. 2
4. 10
5. None of the above
x is a binomial random variable with n = 10 and p = .2. Find σ.
1. 0.2
2. 1.6
3. 2
4. 10
5. None of the above
x is a binomial random variable with n = 10 and p = .2. Find f(3).
1. 0.1762
2. 0.8238
3. 0.9144
4. 3
5. None of the above
During weekday mid-morning hours, phone calls arrive at a motel chain's 800 number reservation center at the rate of 60 per hour. If the probability of a call arriving is the same during any two periods of equal length during these hours and the arrival or nonarrival of a call in any time period is independent of the arrival or nonarrival of a call in any other time period of equal length during these hours, then the Poisson probability distribution is applicable.
1. True
2. False
During weekday mid-morning hours, phone calls arrive at a motel chain's 800 number reservation center at the rate of 60 per hour. The probability of a call arriving is the same during any two periods of equal length during these hours. The arrival or nonarrival of a call in any time period is independent of the arrival or nonarrival of a call in any other time period of equal length during these hours. What is the probability of at least five calls in a 10-minute period during weekday mid-morning hours?
1. 0.0293
2. 0.0378
3. 0.9707
4. 5
5. None of the above
During weekday mid-morning hours, phone calls arrive at a motel chain's 800 number reservation center at the rate of 60 per hour. The probability of a call arriving is the same during any two periods of equal length during these hours. The arrival or nonarrival of a call in any time period is independent of the arrival or nonarrival of a call in any other time period of equal length during these hours. What is the probability of exactly five calls in a 10-minute period during weekday mid-morning hours?
1. 0.0293
2. 0.0378
3. 0.9707
4. 5
5. None of the above
A class with 10 students will be split into five teams of two students each. There are four women and six men in the class. What is the probability that the first team chosen will have two men?
1. 0.1209
2. 0.1333
3. 0.3333
4. 0.8791
5. None of the above