Download Random variable - James Madison University

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts
no text concepts found
Transcript
Random variable
A random variable is a variable whose value is a numerical outcome
of a random phenomenon.
Discrete random variable: values can be listed.
Continuous random variable: can take any value in an interval.
(James Madison University)
September 15, 2014
1/4
Probability distribution
A probability distribution for a discrete random variable specifies the
probability for each possible value.
Example 5.2. P
0 ≤ P(x) ≤ 1, x P(x) = 1.
(James Madison University)
September 15, 2014
2/4
Mean of a random variable
µX = E(X ) =
Example 5.6.
P
[x · P(x)]
Law of large numbers: The sample mean approaches the population
mean when large sample size grows.
(James Madison University)
September 15, 2014
3/4
Variance of a random variable
σX2 =
P
x [(x
− µX )2 · P(x)]q=
P
x [x
2
· P(x)] − µ2X
standard deviation: σX = σX2 .
Example 5.8. exercise 33, 46. page 205, 206.
(James Madison University)
September 15, 2014
4/4
Related documents