Let X be a fınite random variable on a sample space S, let X(S) = {x1, 2,..., en}, and let f(x;) = P(X = x;), where i = 1, 2,..., n be the distribution of X. Then the expected value (mean) E(X) of X, also written as ux, is defined by (choose all correct variants): Select one or more: a. Σαf(n:) b. II-1 ti f(x;) c. Irex(s) ªf(x) d. x1f(x1) + . .. + ¤n f(xn) e. Erex(s) æf(x) f. (x1 + x2 + ...+xn)/n
Let X be a fınite random variable on a sample space S, let X(S) = {x1, 2,..., en}, and let f(x;) = P(X = x;), where i = 1, 2,..., n be the distribution of X. Then the expected value (mean) E(X) of X, also written as ux, is defined by (choose all correct variants): Select one or more: a. Σαf(n:) b. II-1 ti f(x;) c. Irex(s) ªf(x) d. x1f(x1) + . .. + ¤n f(xn) e. Erex(s) æf(x) f. (x1 + x2 + ...+xn)/n
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:Let X be a fınite random variable on a
sample space S, let
X(S) = {x1, 22,..., æn},
and let
f(x;) = P(X = x;),
where i = 1, 2,..., n be the distribution of
X. Then the expected value (mean) E(X)
of X, also written as ux, is defined by
(choose all correct variants):
Select one or more:
а.
b. II-1 ti f(x;)
c. Irex(s) ªf(x)
d. x1f(x1) + .
.. + ænf(xn)
e. Erex(s) ªf(x)
.. + n)/n
f. (x1 + x2 + .
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