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13) We use the General Rule of Multiplication to combine
A. Events that total more than 1.00.
B. Events based on subjective probabilities
C. Mutually exclusive events.
D. Events that are not independent.

14) Which of the following is a correct statement about a probability?
A. It may be greater than 1.
B. It cannot be reported to more than 1 decimal place.
C. It may assume negative values.
D. It may range from 0 to 1.

15) An experiment is a:
A. Always greater than 1.
B. The act of taking a measurement or the observation of some activity.
C. Collection of outcomes.
D. Collection of events

7) In a simple random sample
A. Every Kth item is selected to be in the sample.
B. Every item has a chance to be in the sample.
C. Every item has the same chance to be in the sample.
D. All of these

8) A sample
A. Is part of the population.
B. Has more than 30 observations.
C. Is usually identified as N.
D. All of these

9) The difference between the sample mean and the population mean is called the
A. Population mean.
B. Sampling error.
C. Population standard deviation.
D. Standard error of the mean.

10) A point estimate is
A. Always an estimate of the population mean.
B. Always equal to the population value.
C. An estimate of the population parameter.
D. None of these

11) A confidence interval
A. Always includes the population parameter.
B. Decreases in width as the sample size is increased.
C. Cannot include a value of 0
D. None of these

12) Which of the following statements is not a characteristic of the t distribution?
A. It is symmetrical.
B. Like z there is only one t distribution.
C. It has a mean of 0.
D. It is a continuous distribution.

1) The weighted mean is a special case of the:
A. Mean
B. Geometric mean
C. Median
D. Mode

2) In a set of observations, which measure of central tendency reports the value that occurs most often?
A. Mean
B. Geometric mean
C. Median
D. Mode

3) Which of the following measures of central location is affected most by extreme values?
A. Median
B. Geometric mean
C. Mean
D. Mode

4) The difference between a random variable and a probability distribution is:
A. A random variable does not include the probability of an event.
B. A random variable can only assume whole numbers.
C. A probability distribution can only assume whole numbers.
D. None of the above.

5) The mean and the variance are equal in
A. All probability distributions.
B. The hypergeometric distribution.
C. The binomial distribution.
D. The Poisson distribution.

6) In which of the following distributions is the probability of a success usually small?
A. Binomial
B. All distribution
C. Poisson
D. Hypergeometric

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