Probability Probability is the frequency of a particular outcome occurring across a number of trials

Slides:



Advertisements
Similar presentations
Basic Concepts of Probability Probability Experiment: an action,or trial through which specific results are obtained. Results of a single trial is an outcome.
Advertisements

Probability Probability Principles of EngineeringTM
CHAPTER 40 Probability.
Dealing with Random Phenomena A random phenomenon is a situation in which we know what outcomes could happen, but we don’t know which particular outcome.
Genetic Statistics Lectures (5) Multiple testing correction and population structure correction.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 14 From Randomness to Probability.
Cal State Northridge 320 Andrew Ainsworth PhD
Chapter 7 Probability. Definition of Probability What is probability? There seems to be no agreement on the answer. There are two broad schools of thought:
1 Definitions Experiment – a process by which an observation ( or measurement ) is observed Sample Space (S)- The set of all possible outcomes (or results)
© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through.
PROBABILITY How is Probability Useful? Making Probability Judgments. How Are Probabilities Determined?
Probability Rules l Rule 1. The probability of any event (A) is a number between zero and one. 0 < P(A) < 1.
AP STATISTICS.   Theoretical: true mathematical probability  Empirical: the relative frequency with which an event occurs in a given experiment  Subjective:
Chapter 15: Probability Rules!
Basic Probability (Chapter 2, W.J.Decoursey, 2003) Objectives: -Define probability and its relationship to relative frequency of an event. -Learn the basic.
Chapter 4 Probability Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin.
Math 409/409G History of Mathematics
UNIT 8: PROBABILITY 7 TH GRADE MATH MS. CARQUEVILLE.
Using Probability and Discrete Probability Distributions
Theoretical and Experimental Probability Today you will learn to: calculate the theoretical and experimental probabilities of an event. M07.D-S.3.1.1:
Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 4 Probability.
Daniel Meissner Nick Lauber Kaitlyn Stangl Lauren Desordi.
Tree Diagram Worksheet
Chapter 12 Probability. Chapter 12 The probability of an occurrence is written as P(A) and is equal to.
Chapter 2 - Probability 2.1 Probability Experiments.
Copyright © 2010 Pearson Education, Inc. Chapter 14 From Randomness to Probability.
9.1 Understanding Probability Remember to Silence Your Cell Phone and Put It In Your Bag!
Probability. probability The chance or likelihood that an event will occur. - It is always a number between zero and one. - It is stated as a fraction,
12/7/20151 Math b Conditional Probability, Independency, Bayes Theorem.
Probability. Rules  0 ≤ P(A) ≤ 1 for any event A.  P(S) = 1  Complement: P(A c ) = 1 – P(A)  Addition: If A and B are disjoint events, P(A or B) =
Probability SWBAT find the theoretical probability of an event and its complement; compare the experimental probability of an event with the theoretical.
Probability Basics Section Starter Roll two dice and record the sum shown. Repeat until you have done 20 rolls. Write a list of all the possible.
P(E)=. Sample Space All possible outcomes for a chance experiment Disjoint – (Mutually Exclusive) They have nothing in common. P(A  B)=0.
Chapter 12 Section 1 - Slide 1 Copyright © 2009 Pearson Education, Inc. AND.
CHAPTER 3 PROBABILITY 3.1 Basic Concepts of Probability.
Chapter 4 Probability, Randomness, and Uncertainty.
I can find probabilities of compound events.. Compound Events  Involves two or more things happening at once.  Uses the words “and” & “or”
Experimental Probability Vs. Theoretical Probability.
Chapter 6 - Probability Math 22 Introductory Statistics.
Probability Michael J. Watts
© 2013 Pearson Education, Inc. Reading Quiz For use with Classroom Response Systems Introductory Statistics: Exploring the World through Data, 1e by Gould.
Copyright ©2004 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 4-1 Probability and Counting Rules CHAPTER 4.
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 4 Probability.
Course 2 Probability Basics 7.9 and Theoretical Probability Theoretical Probability is the ratio of the number of ways an event can occur to the.
 Page 568: Insurance Rates  Probability theory  Chance or likelihood of an event happening  Probability  Each even is assigned a number between.
2 nd Nine Weeks Exam Review – Unit 6 Probability Key Points.
Methods of Assigning Probabilities l Classical Probability; l Empirical Probability; and l Subjective Probability l P (A) = N(A) / N l P (X) = ƒ (X) /
Mathematics Department
Unit 8 Probability.
PROBABILITY Algebra 2.
From Randomness to Probability
AND.
AND.
Experimental Probability Vs. Theoretical Probability
Conditional Probability AGENDA
Experimental Probability Vs. Theoretical Probability
Experimental vs. Theoretical Probability
I can find probabilities of compound events.
Chapter 14 – From Randomness to Probability
Probability: The Study of Randomness
Section 11.7 Probability.
Probability By Mya Vaughan.
Unit 6: Application of Probability
Probability.
Experimental vs. Theoretical Probability
Probability Models 7. SP.7 Develop a probability model and use it to find probabilities of events. Compare probabilities from a model to observed frequencies;
Probability Rules Rule 1.
Probability Mutually exclusive and exhaustive events
Theoretical Probability
Probability.
Presentation transcript:

Probability Probability is the frequency of a particular outcome occurring across a number of trials 𝑝 𝐴 = 𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑜𝑢𝑡𝑐𝑜𝑚𝑒𝑠 𝑐𝑙𝑎𝑠𝑠𝑖𝑓𝑖𝑎𝑏𝑙𝑒 𝑎𝑠 𝐴 𝑇𝑜𝑡𝑎𝑙 𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑝𝑜𝑠𝑠𝑖𝑏𝑙𝑒 𝑜𝑢𝑡𝑐𝑜𝑚𝑒𝑠

Outcome Types Equally Likely Model – all outcomes are equally likely of occurring Mutually Exclusive Outcomes – outcome of one trial is independent of the outcome on any other trial

Theorems for Probability Addition Theorem: 𝑝 𝐴 𝑜𝑟 𝐵 =𝑝 𝐴 +𝑝(𝐵) Multiplication Theorem: 𝑝 𝐴 𝑎𝑛𝑑 𝐵 =𝑝 𝐴 ∗𝑝(𝐵)

Probability and Inference Probabilities are theoretical They are expectations of what will happen Actual trials are empirical They are actually what does happen