- CFA Exams
- CFA Level I Exam
- Study Session 3. Quantitative Methods (2)
- Reading 9. Common Probability Distributions
- Subject 6. The Normal Distribution
CFA Practice Question
Which of the following is (are) true about a normal distribution?
II. It can be characterized completely by a single parameter.
III. It ranges from negative infinity to positive infinity.
IV. It is positively skewed.
I. It is a bimodal distribution.
II. It can be characterized completely by a single parameter.
III. It ranges from negative infinity to positive infinity.
IV. It is positively skewed.
A. III and IV
B. III only
C. II and III
Explanation: A normal distribution is completely characterized by 2 parameters, mean and variance. It ranges from negative infinity to positive infinity, has a single mode or peak (occurring at the mean), is symmetrical about the mean, and has zero skewness.
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