标题: Reading 9: Common Probability Distributions LOS j习题精选 [打印本页]
作者: honeycfa 时间: 2010-4-15 23:02 标题: [2010]Session 3-Reading 9: Common Probability Distributions LOS j习题精选
LOS j: Determine the probability that a normally distributed random variable lies inside a given confidence interval.
A stock portfolio has had a historical average annual return of 12% and a standard deviation of 20%. The returns are normally distributed. The range –27.2 to 51.2% describes a:
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A) |
68% confidence interval. | |
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B) |
95% confidence interval. | |
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C) |
99% confidence interval. | |
The upper limit of the range, 51.2%, is (51.2 ? 12) = 39.2 / 20 = 1.96 standard deviations above the mean of 12. The lower limit of the range is (12 ? (-27.2)) = 39.2 / 20 = 1.96 standard deviations below the mean of 12. A 95% confidence level is defined by a range 1.96 standard deviations above and below the mean.
作者: honeycfa 时间: 2010-4-15 23:03
A stock portfolio's returns are normally distributed. It has had a mean annual return of 25% with a standard deviation of 40%. The probability of a return between -41% and 91% is closest to:
A 90% confidence level includes the range between plus and minus 1.65 standard deviations from the mean. (91 ? 25) / 40 = 1.65 and (-41 ? 25) / 40 = -1.65.
作者: honeycfa 时间: 2010-4-15 23:03
For a normal distribution, what approximate percentage of the observations fall within ±3 standard deviation of the mean?
For normal distributions, approximately 99% of the observations fall within ±3 standard deviations of the mean.
作者: honeycfa 时间: 2010-4-15 23:04
The mean return of a portfolio is 20% and its standard deviation is 4%. The returns are normally distributed. Which of the following statements about this distribution are least accurate? The probability of receiving a return:
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A) |
of less than 12% is 0.025. | |
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B) |
between 12% and 28% is 0.95. | |
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C) |
in excess of 16% is 0.16. | |
The probability of receiving a return greater than 16% is calculated by adding the probability of a return between 16% and 20% (given a mean of 20% and a standard deviation of 4%, this interval is the left tail of one standard deviation from the mean, which includes 34% of the observations.) to the area from 20% and higher (which starts at the mean and increases to infinity and includes 50% of the observations.) The probability of a return greater than 16% is 34 + 50 = 84%.
Note: 0.16 is the probability of receiving a return less than 16%.
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