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Multiple Choice Quiz
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1
In an experiment, a random variable represents:
A)all possible outcomes of an experiment.
B)the measurement of one experimental outcome.
C)the probability of an experimental outcome.
D)the frequency of an outcome.
2
Which of the following statements is true about a probability distribution?
A)A probability distribution summarizes all possible experimental outcomes and their probability.
B)A probability distribution equals one.
C)A continuous probability distribution is used to summarize a discrete random variable.
D)A probability distribution shows the frequency distribution of a random variable.
3
Which of the following is not a characteristic of a binomial distribution?
A)For every trial, the probability of success is the same.
B)The random variable has only two possible outcomes.
C)The number of trials is fixed.
D)The outcome of any trial is dependent on the outcomes of previous trials.
4
The mean and variance are equal for:
A)all probability distributions.
B)the binomial probability distribution.
C)the Poisson probability distribution.
D)the empirical probability distribution.
5
Which probability distribution is applied when the probability of a success is very small?
A)The binomial probability distribution
B)The Poisson probability distribution
C)The empirical probability distribution
D)The binomial distribution with n = 10 and π = 0.5
6
In general, a discrete probability distribution requires that:
A)all outcomes must have the same probability of success.
B)the probabilities for all possible outcomes must sum to 1.00.
C)the probability of success must be less than 0.1.
D)the events must be dependent.
7
For a binomial probability distribution:
A)the number of trials must be between 1 and 20.
B)each trial is limited to two outcomes.
C)there must be at least 3 possible outcomes.
D)probabilities are conditional on previous events.
8
In a continuous probability distribution, the random variable:
A)is limited to certain values.
B)may be any value within a certain range.
C)may have a probability greater than 1.00.
D)is discrete.
9
For a binomial distribution with n = 15, as π changes from 0.05 toward 0.50, the distribution will become:
A)more positively skewed.
B)more negatively skewed.
C)symmetrical.
D)rectangular.
10
For any probability distribution, the expected value is:
A)equal to the random variable.
B)equal to the mean of the distribution.
C)equal to the variance of the distribution.
D)cannot be greater than 1.
11
The expected value of a binomial probability distribution with n = 10 and π = .95 is:
A)9.5.
B)10.
C)0.95.
D)0.50.
12
The variance of a binomial probability distribution with n = 10 and π = .95 is:
A)9.50.
B)0.475.
C)100.0.
D)0.9025.





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