1. Given the joint density function for the random variables X and Y as
The marginal distribution for the random variable X is
Answer:
2. Given the joint density function for the random variables X and Y as
The marginal distribution for the random variable Y is
Answer:
3. The following represents the cumulative distribution function for a random variable X.
From the graph, find .
Answer: 0.4
4. The life span in hours for an electrical component is a random variable X with cumulative distribution function
Determine the probability density function for X.
Answer:
5. Let X be the random variable for the life in hours for a certain electronic device. The probability density function is
The expected life for a component is
Answer: 2000 hours
6. The life, X in hundred of hours, of a certain battery has the following density function
What is the average life of the battery?
Answer: 200 hours
7. The waiting time, in hours, between successive speeders spotted by a radar unit is a continuous random variable with cumulative distribution
What is the expected or average time between successive speeders?
Answer: 0.125 hours
8. The probability distribution of X, the number of defects per 100 yards of a fabric is given by
x 0 1 2 3 4
f(x) 0.45 0.35 0.14 0.05 0.01
The variance for X is
Answer: 0.8476
9. The following represents the projection graph for a probability distribution f(x) of a random variable X.
What is the value for the variance of X?
Answer: 1
10. The following represents the cumulative distribution function for a random variable X.
What is the expected value of X?
Answer: 2.2
11. The life span in hours for an electrical component is a random variable X with cumulative distribution function
Determine the expected life span for an electrical component.
Answer: 100
12. The life span in hours for an electrical component is a random variable X with cumulative distribution function
Determine the variance for the life span for an electrical component.
Answer: 10000
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Attachment:- Prob & Stats 3-4.doc