Dependent events

Dependent events
1. P(A∩B) = 0 represents. (Points : 1)
Independent events
Mutually exclusive events
Conditional events
Dependent events

2. When two events are independent and we are calculating conditional probability P(A | B) then it follows that (Points : 1)
P(A) = P(B)
P(A | B) = P(A)
P(A ∩ B)=2
P(A U B)=0

3. The _______________ describes the number of occurrences of an event over a specified interval of time or space. (Points : 1)
Binomial random variable
Poisson random variable
Discrete random variable
Continuous random variable

4. In a statistical study, the random variable X = 1, if the house is colonial, and X = 0 if the house is not colonial, then it can be stated that the random variable is continuous. (Points : 1)
True
False

5. Which two distributions are useful in analyzing queues? (Points : 1)
Binomial and normal
Normal and exponential
Poisson and normal
Poisson and exponential

6. If a random variable x has a uniform distribution with a mean of 10 and the lowest value of x is 5 what is the largest value of x that can exist? (Points : 1)
5
15
10
20

7. The height of a continuous probability curve over a given point is (Points : 1)
Equal to the mean
Equal to the standard deviation
Equal to zero
Equal to Z

8. Events that have no sample space outcomes in common, and, therefore, cannot occur simultaneously are (Points : 1)
independent.
mutually exclusive.
intersections.
unions.

9. A standard normal distribution has a mean of ____and standard deviation of ____ (Points : 1)
zero, zero.
zero, one.
one, one.
one, zero.

10. The rule of complements is represented by (Points : 1)
P(A | B) = P(A ∩ B)
P(A U B) = P(A) + P(B) – P(A ∩ B)
P(Ā) = 1 – P(A)
P(A ∩ B) = P(A) * P(B)