Lecture 1_Probability and Probability Distributions

Lecture 1_Probability and Probability Distributions -...

Info iconThis preview shows pages 1–6. Sign up to view the full content.

View Full Document Right Arrow Icon
Probability and Probability Distributions
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Experiment Random experiment Uncertainty More than one possible outcome Uncertainty of which outcome will actually materialize Example: Tossing a coin, Throwing a pair of dice, Drawing a card from a deck of cards.
Background image of page 2
Population Population or Sample Space: The set of all possible outcomes of an experiment Example: Two coins: H-head, T-tail. Four possible outcome: HH, HT, TH, TT. Sample Point Each member, or outcome, of the sample space or population Ex: HH is a sample point.
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Event An event is a particular collection of outcomes, a subset of the sample space. Example: Event A : the occurrence of one head and one tail outcome HT and TH Event B: two heads occur outcome HH Mutually exclusive, equally likely and collectively exhaustive events Venn Diagrams
Background image of page 4
Random Variables A variable whose (numerical) value is determined by the outcome of an experiment is called a random variable
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Image of page 6
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

Page1 / 27

Lecture 1_Probability and Probability Distributions -...

This preview shows document pages 1 - 6. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online