1. Given the probability of event G is 1/2, the probability of event H is 2/3, t

Question

1. Given the probability of event G is 1/2, the probability of event H is 2/3, the probability of both events G and H is 2/6 = 1/3. This is an example of the two events being ________.

exhaustive

dependent

inter-dependent

independent

mutually exclusive

2. According to historical data, there are 300 days of sun in Township X each year. This suggests that the probability of a sunny day in 2013 is   300/365 = 82%. This is an application of ________.

relative frequency probability

ratiometric

subjective probability

conditional probability

classical probability

3. A discrete distribution has a positive skew. What is true?

mode is less than the mean.

mode is greater than the mean.

mode, mean, and median are all the same.

mean is zero.

mode is negative.

4. The probability of finishing a specific type of task is uniformly (equally) distributed between 4 hours and 12 hours. Determine the EXPECTED time to finish tasks of this nature. Enter your answer rounded to the nearest integer number.

___________?

exhaustive

dependent

inter-dependent

independent

mutually exclusive

Explanation / Answer

1) D. Independent

Since P(A)*P(B) = P(A and B)

2) E. Classical Probability

3) A. Mode is less than mean

4) Mean for uniform distribution = (4+12)/2 = 8

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