Ch5 Joint probability distribution
TWO DISCRETE RANDOM VARIABLES
The joint probability mass function of the discrete random
variables X and Y, denoted as fXY (x, y), satises
Marginal Probability Distributions
If X and Y are discrete random variables with

Chapter 6 Random Sampling and Data Description
6-1 DATA SUMMARY AND DISPLAY
The standard deviation is the positive square root of the variance
We can characterize the location or central tendency in the data by the ordinary
arithmetic average or mean.
Sam

CHAPTER 2 PROBABILITY
Events
SAMPLE SPACES AND EVENTS
An event is a subset of the sample space of a random
experiment.
Random Experiment
An experiment that can result in different outcomes, even
though it is repeated in the same manner every time, is
call

Ch4 CONTINUOUS RANDOM VARIABLES
Denition
For a continuous random variable X, a probability density
function is a function such that
(1) f(x) 0
(2)
f ( x) dx 1
b
(3) P(a X b) =
f ( x)dx
a
For a continuous random variable X and any value x.
If X is a conti

Ch3 DISCRETE RANDOM VARIABLES
PROBABILITY DISTRIBUTIONS AND PROBABILITY MASS
FUNCTIONS
Definition For a discrete random variable X with
possible values, a probability mass function is a function
such that
(1) f ( xi ) 0
n
(2) f ( xi ) 1
i 1
(3) f ( xi ) P