Example: Put all the letters of the alphabet in a hat. If you choose a consonant, I pay you $1. If you choose a vowel, I pay you $5. X is the random variable representing the outcome of the experiment. Create the distribution of X.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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A random variable take numerical values that describe the outcomes of some chance process.
Random variables are usually capital letters
Random variables can be discrete or continuous
Random variables must be numeric in value
A discrete random variable X takes a fixed set of possible values and has distinct values (usually no decimals
and sometimes not every number). The probability distribution of a discrete random variable X lists the values
x, and their probabilities. This is done most commonly with a table.
The probabilities must satisfy two requirements:
Every probability p, is a number between 0 and 1
The sum of the probabilities is 1
Example: Put all the letters of the alphabet in a hat. If you choose a consonant, I pay you $1. If you choose a
vowel, I pay you $5. X is the random variable representing the outcome of the experiment. Create the
distribution ofX.
Continuous Random Variables take on all possible values in an interval of numbers. The probability
distribution of X is described by a density curve.
The probability of any event is the area under the density curve and above the values of X that makes up
that area.
• Area under a density curve =
Example:
C
2
1
Transcribed Image Text:A random variable take numerical values that describe the outcomes of some chance process. Random variables are usually capital letters Random variables can be discrete or continuous Random variables must be numeric in value A discrete random variable X takes a fixed set of possible values and has distinct values (usually no decimals and sometimes not every number). The probability distribution of a discrete random variable X lists the values x, and their probabilities. This is done most commonly with a table. The probabilities must satisfy two requirements: Every probability p, is a number between 0 and 1 The sum of the probabilities is 1 Example: Put all the letters of the alphabet in a hat. If you choose a consonant, I pay you $1. If you choose a vowel, I pay you $5. X is the random variable representing the outcome of the experiment. Create the distribution ofX. Continuous Random Variables take on all possible values in an interval of numbers. The probability distribution of X is described by a density curve. The probability of any event is the area under the density curve and above the values of X that makes up that area. • Area under a density curve = Example: C 2 1
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