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标题: Reading 9: Common Probability Distributions-LOS d 习题精选 [打印本页]

作者: 1215 时间: 2011-3-4 13:48 标题: [2011]Session 3-Reading 9: Common Probability Distributions-LOS d 习题精选

Session 3: Quantitative Methods: Application
Reading 9: Common Probability Distributions

LOS d: Calculate and interpret probabilities for a random variable, given its cumulative distribution function.

A cumulative distribution function for a random variable X is given as follows:

x F(x)

5 0.14

10 0.25

15 0.86

20 1.00

The probability of an outcome less than or equal to 10 is:

A)
14%.

B)
39%.

C)
25%.

A cumulative distribution function (cdf) gives the probability of an outcome for a random variable less than or equal to a specific value. For the random variable X, the cdf for the outcome 10 is 0.25, which means there is a 25% probability that X will take a value less than or equal to 10.

作者: 1215 时间: 2011-3-4 13:48

Which of the following qualifies as a cumulative distribution function?

A)
F(1) = 0, F(2) = 0.5, F(3) = 0.5, F(4) = 0.

B)
F(1) = 0, F(2) = 0.25, F(3) = 0.50, F(4) = 1.

C)
F(1) = 0.5, F(2) = 0.25, F(3) = 0.25.

Because a cumulative probability function defines the probability that a random variable takes a value equal to or less than a given number, for successively larger numbers, the cumulative probability values must stay the same or increase.

作者: 1215 时间: 2011-3-4 13:49

A random variable X is continuous and bounded between zero and five, X0 ≤ X ≤ 5). The cumulative distribution function (cdf) for X is F(x) = x / 5. Calculate P(2 ≤ X ≤ 4).

A)
1.00.

B)
0.40.

C)
0.50.

For a continuous distribution, P(a ≤ X ≤b) = F(b) ? F(a). Here, F(4) = 0.8 and F(2) = 0.4. Note also that this is a uniform distribution over 0 ≤ x ≤ 5 so Prob(2 < x < 4) = (4 ? 2) / 5 = 40%.

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