IEE 380 Quizzes and Correct Answers
Historical data is used if you are doing a _________ study.
Retrospective
If you go out to collect data to analyze, this would be an example of a ________ study.
observational
The Addition Rule states that P(A U B) = P(A) + P(B) - _________.
P(A∩B)
The variance formula for a random variable with the Discrete Uniform pmf will only
work if the values of the random variable are __________ integers.
Consecutive
Recall that in class, we talked about discrete and continuous random variables. Which
of the follwoing would be a good example of a continuous random variable?
a) Number of defects on a circuit board.
b) Number of cars passing in an intersection.
c) A student's GPA as reported on their transcript.
d) The face value for the throw of a fair die.
e) The height of a person
Height
Consider a discrete random variable. Which of the following, when plotted will look like
stairs going up and to the right?
F(X)
, Consider a discrete random variable X, with range x= 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10. P(X <
10) = F( ). What number should be in the parenthesis after "F"?
9
Width measuremetns of a steel bar are made to the nearest hundreth of a millimeter.
The thickness measurements are discrete uniformly distributed with values 1mm, 2mm,
3mm, and 4mm. E(X) = 2.5 mm.
a) What is the expected value of a discrete random variable, X.
b) What is the units?
a) 2.5
b) mm
Which of the following probability distributions often determines the probabilities of a
counting process?
Poisson Distribution
An electronic product contains 51 integrated circuits. The probability that any
integrated circuit is defective is 0.01, and the integrated circuits are independent.
Suppose you want to determine the probability that the number of defective circuits in
this product is equal to 2. The best definition of the random variable, X, in words is:
X is the number of defective integrated circuits out of 51 integrated circuits.
Explanation: X is a binomial random variable, not a probability.
We know that ________ will always have one of two outcomes.
A Bernoulli Trial
Historical data is used if you are doing a _________ study.
Retrospective
If you go out to collect data to analyze, this would be an example of a ________ study.
observational
The Addition Rule states that P(A U B) = P(A) + P(B) - _________.
P(A∩B)
The variance formula for a random variable with the Discrete Uniform pmf will only
work if the values of the random variable are __________ integers.
Consecutive
Recall that in class, we talked about discrete and continuous random variables. Which
of the follwoing would be a good example of a continuous random variable?
a) Number of defects on a circuit board.
b) Number of cars passing in an intersection.
c) A student's GPA as reported on their transcript.
d) The face value for the throw of a fair die.
e) The height of a person
Height
Consider a discrete random variable. Which of the following, when plotted will look like
stairs going up and to the right?
F(X)
, Consider a discrete random variable X, with range x= 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10. P(X <
10) = F( ). What number should be in the parenthesis after "F"?
9
Width measuremetns of a steel bar are made to the nearest hundreth of a millimeter.
The thickness measurements are discrete uniformly distributed with values 1mm, 2mm,
3mm, and 4mm. E(X) = 2.5 mm.
a) What is the expected value of a discrete random variable, X.
b) What is the units?
a) 2.5
b) mm
Which of the following probability distributions often determines the probabilities of a
counting process?
Poisson Distribution
An electronic product contains 51 integrated circuits. The probability that any
integrated circuit is defective is 0.01, and the integrated circuits are independent.
Suppose you want to determine the probability that the number of defective circuits in
this product is equal to 2. The best definition of the random variable, X, in words is:
X is the number of defective integrated circuits out of 51 integrated circuits.
Explanation: X is a binomial random variable, not a probability.
We know that ________ will always have one of two outcomes.
A Bernoulli Trial
