IEE 380 CORE PAST REVISION 2026 QUESTIONS AND
ANSWERS SURE A+
✔✔In the equation shown for the computation of the variance of X, V(X), what is
another representation of this portion of the right side of that equation:
1^2(1/6)+2^2(1/6)+3^2(1/6)+4^2(1/6) - ✔✔E(x^2)
✔✔An experiment that is repeated in the same manner every time but that can result in
different ____________ is called a random experiment. - ✔✔outcomes
✔✔In Chapter 3, the authors use f(x) to denote the probability that a discrete random
variable X (upper case) equals a specific measured numerical value, x, lowercase. In
other words, the text shows f(x) = P(X = x) for X discrete.
What does Dr. Chattin use to denote P(X = x)? - ✔✔p(x)
✔✔****Which of the following shows the Addition Rule? - ✔✔P(A U B) = P(A) + P(B) -
P(A N B) or
P(A N B) = P(A) + P(B) - P(A U B)
** N = upside down U thing
✔✔An experiment that results in only one of two outcomes is called a
_________________ trial. - ✔✔Bernoulli trial
✔✔X is a continuous random variable. Therefore, for two numerical values in the range
of X, x1 and x2,
P(x1 <= X <= x2) = P(x1 <= X < x2) - ✔✔true
✔✔*****Which of the following is/are the formula for finding the variance of a continuous
random variable, X? - ✔✔sigma^2 = sum of all x (x^2p(X)) - (sum of all x (xp(x)))^2)
V(x) = E(x^2)-mu^2
✔✔*****Suppose random variable X has a pdf: f(x) = 2 for 1 < x < 1.5 (This is called the
Continuous Uniform pdf.)
What is the probability that X is equal to 1.25? - ✔✔.5
✔✔X is a continuous random variable. Therefore, for two numerical values in the range
of X, x1 and x2,
P(x1 < X < x2) = P(x1 <= X <= x2) - ✔✔true
ANSWERS SURE A+
✔✔In the equation shown for the computation of the variance of X, V(X), what is
another representation of this portion of the right side of that equation:
1^2(1/6)+2^2(1/6)+3^2(1/6)+4^2(1/6) - ✔✔E(x^2)
✔✔An experiment that is repeated in the same manner every time but that can result in
different ____________ is called a random experiment. - ✔✔outcomes
✔✔In Chapter 3, the authors use f(x) to denote the probability that a discrete random
variable X (upper case) equals a specific measured numerical value, x, lowercase. In
other words, the text shows f(x) = P(X = x) for X discrete.
What does Dr. Chattin use to denote P(X = x)? - ✔✔p(x)
✔✔****Which of the following shows the Addition Rule? - ✔✔P(A U B) = P(A) + P(B) -
P(A N B) or
P(A N B) = P(A) + P(B) - P(A U B)
** N = upside down U thing
✔✔An experiment that results in only one of two outcomes is called a
_________________ trial. - ✔✔Bernoulli trial
✔✔X is a continuous random variable. Therefore, for two numerical values in the range
of X, x1 and x2,
P(x1 <= X <= x2) = P(x1 <= X < x2) - ✔✔true
✔✔*****Which of the following is/are the formula for finding the variance of a continuous
random variable, X? - ✔✔sigma^2 = sum of all x (x^2p(X)) - (sum of all x (xp(x)))^2)
V(x) = E(x^2)-mu^2
✔✔*****Suppose random variable X has a pdf: f(x) = 2 for 1 < x < 1.5 (This is called the
Continuous Uniform pdf.)
What is the probability that X is equal to 1.25? - ✔✔.5
✔✔X is a continuous random variable. Therefore, for two numerical values in the range
of X, x1 and x2,
P(x1 < X < x2) = P(x1 <= X <= x2) - ✔✔true
