Carnival Game Tycoon Lecture Notes: Lesson 4			Name:__________________
Delta College STEM Explorer	

I. Discrete Probability Distributions- 	defining the elements
	A. Discrete: An ____________, ___________ value. Ex. U.S paper currency is divided into ___________ monetary values; $1, $2, $5, $10...

B. Probability Distribution: a representation of data (usually _________) that shows the likelihood of ___________________________ of a random variable (X) in a chance experiment.

C. Random Variable: a variable that is _______________ by the outcome of a _________ ____________________. Ex. Rolling a die: The chance that the random variable will = __ is ⅙. But it could also end up being 1,2,3,5, or 6.

II. Examples of discrete probability distributions
A.	Rolling 2 dice and adding up the __________.
B.	How many times hospital patients _______ their buzzers for assistance during the night
C.	How many times ____________ are awakened by _____________ during the night

III. Examples of non-discrete probability distributions
A.	__________ tree height in Michigan
B.	Eyelash length of _________ in Uganda
C.	__________ of a population of males in Ohio

IV: A Practical Example: Results of flipping three coins
A.	All possible outcomes of three flips:  
_____, 	_____, 	_____, 	_____, 	_____, 	_____, 	_____, 	_____

 ____	 ____	 ____	  ____	  ____	____	____	____

B.	P(X=x)		0		1		2		3
			⅛(_____)	⅜(_____)	⅜(_____)	⅛(_____)