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IEE 380 Exam 1 practice test With complete solution RATED A+ NEW EDITION

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IEE 380 Exam 1 practice test With complete solution RATED A+ NEW EDITION IEE 380 Exam 1 practice test With complete solution RATED A+ NEW EDITION IEE 380 Exam 1 practice test With complete solution RATED A+ NEW EDITION IEE 380 Exam 1 practice test With complete solution RATED A+ NEW EDITION IEE 380 Exam 1 practice test With complete solution RATED A+ NEW EDITION IEE 380 Exam 1 practice test With complete solution RATED A+ NEW EDITION IEE 380 Exam 1 practice test With complete solution RATED A+ NEW EDITION IEE 380 Exam 1 practice test With complete solution RATED A+ NEW EDITION IEE 380 Exam 1 practice test With complete solution RATED A+ NEW EDITION IEE 380 Exam 1 practice test With complete solution RATED A+ NEW EDITION IEE 380 Exam 1 practice test With complete solution RATED A+ NEW EDITION IEE 380 Exam 1 practice test With complete solution RATED A+ NEW EDITION

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IEE 380 Exam 1 prac ce test With complete solu on
RATED A+ NEW EDITION

you are required to use a TI-89 - Ans False



graph of F(x) = P(X <= x) when X is the face value for the throw of a fair die? - Ans x on x-axis

F(x) on y-axis

open step func%on for graph



The entry in the Z table (CDF of a standard normal random variable) corresponding to a row
label of 1.2 and a column label of .03 is - Ans P(Z <= 1.23) / phi(1.23)



If random variable X has a/an _______________ number of values in a finite interval of its
range, X is con%nuous. - Ans infinite



The CDF is the probability that a random variable, X, is _______________ to a specific number,
x. - Ans less than or equal to



on a graph of the standard normal variable f(z) is on the y-axis - Ans false, f(x)



******Let x (lowercase) denote a specific measured numerical value of a random variable.
How do we denote this random variable? That is, what is the nota%on of the random variable? -
Ans P(X=x)



Open the text to sec%on 3.6 and look at Example 3-16 Digital Channel. This example was part of
your reading assignment for the week.

, Which of the following is the correct defini%on of the random variable in this example? - Ans X
is the random variable and it is the number of bits received in error out of the next four that are
transmi=ed.



******Suppose the pdf of X is given as f(x) = .25 for 3 < x < 8



How many numerical values can X be? - Ans 5



******How many values can a Poisson random variable have? - Ans n



Let P(X=x) be the probability that a random variable equals a specific measured numerical
value, x.



Let p(x) denote the probability mass func%on of that random variable, X.



Is this rela%onship True or False: P(X=x) = p(x) - Ans true



If Y is the face value for the throw of a fair die, then the equa%on ((b-a+1)^2 - 1)/12 is the
______________ of Y. - Ans variance



A normally distributed random variable that has a mean equal to 0 and a standard devia%on
equal to 1 is called _____________ - Ans A standard Normal Random Variable, AKA Z



X is the face value for the throw of a fair die. What is the expected value of X? - Ans 3.5



X is a con%nuous random variable of "int( f(x)dx ) from low x to general x" is - Ans the CDF of x

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