# Question

1. The relative likelihood of occurrence of any given event is known as that event’s

a. standard deviation.

b. area under the normal curve.

c. probability.

d. All of the above

2. Probability varies from

a. zero to infinity.

b. zero to 1.0.

c. 1.0 to 100.0

d. -1.0 to +1.0

3. Which of the following is not true of a normal curve?

a. It is skewed.

b. It is a probability distribution.

c. Its total area contains 100% of the cases.

d. The mode, median, and mean are identical.

4. A _________________ indicates how far an individual raw score falls from the mean of a

distribution; the _______________ indicates how the scores in general scatter around the mean.

a. standard deviation; z score

b. z score; standard deviation

c. probability; z score

d. standard deviation; probability

5. The equation P = .33 for obtaining an income between $40,000 and $50,000 represents

a. a percentage.

b. a probability expressed as a proportion.

c. a frequency of occurrence.

d. a z score.

a. standard deviation.

b. area under the normal curve.

c. probability.

d. All of the above

2. Probability varies from

a. zero to infinity.

b. zero to 1.0.

c. 1.0 to 100.0

d. -1.0 to +1.0

3. Which of the following is not true of a normal curve?

a. It is skewed.

b. It is a probability distribution.

c. Its total area contains 100% of the cases.

d. The mode, median, and mean are identical.

4. A _________________ indicates how far an individual raw score falls from the mean of a

distribution; the _______________ indicates how the scores in general scatter around the mean.

a. standard deviation; z score

b. z score; standard deviation

c. probability; z score

d. standard deviation; probability

5. The equation P = .33 for obtaining an income between $40,000 and $50,000 represents

a. a percentage.

b. a probability expressed as a proportion.

c. a frequency of occurrence.

d. a z score.

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