Random Variables: Concept, Types, and Probability Distributions, Slides of Statistics

The concept of random variables, their types (discrete and continuous), and the probability distributions for discrete random variables. It covers assigning probabilities to discrete points, the collection of p(x) values as the probability distribution, and calculating the mean, variance, and standard deviation.

Typology: Slides

2012/2013

Uploaded on 08/31/2013

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Download Random Variables: Concept, Types, and Probability Distributions and more Slides Statistics in PDF only on Docsity!

Random Variable

  • A rule that assigns a number to each outcome in the sample space is called a random variable. - Random Variables denoted by letters at the end of the alphabet: X,Y,Z.

Types of random variables

  • Discrete: potential values separated points

on the number line

  • generally counting
  • Continuous: potential values fall in an

interval on number line

  • generally measured

Probability Distributions; Discrete Variables

  • For Discrete Random Variables we

assign probabilities to the discrete

points

 

 

 

allX

r

P x

P x

P x P X x

( ) 1

0 ( ) 1

( ) ( )

Summarizing probability distribution

  • The mean (expected value) of a discrete

random variable is

  • This is the average value of X if the experiment is performed an extremely large number of times.

 x  E ( X )   xP ( x )

  • The variance of a discrete random variable is
  • The standard deviation is

 (^) x^2^  (^)  xx   x ^2 P ( x )   x^2 P ( x )   x^2

2  (^) x   x