Experiment outcomes outcome trial outcomes experiment possible outcomes.

Slides:



Advertisements
Similar presentations
Lecture 13 Elements of Probability CSCI – 1900 Mathematics for Computer Science Fall 2014 Bill Pine.
Advertisements

JUST FLIPPING AROUND  Created By:  J. Whitlock, T.Garcia, and A. Aceves  For:  Ms. Wiltshire’s Class  On:  October 2002.
How likely something is to happen.
Decisions, Decisions, Decisions
Solve for x. 28 = 4(2x + 1) = 8x = 8x + 8 – 8 – 8 20 = 8x = x Distribute Combine Subtract Divide.
Chapter 3 Probability.
Today’s Lesson: What: probability of compound events Why: To create and analyze tree diagrams; discover and use the fundamental counting principle; and.
Nuffield Free-Standing Mathematics Activity
Warm Up Use an inequality symbol to make each expression true a x 10 4 ___________ 5, 430 b. 32 ÷ ¼ ___________ 32 ÷4 c. 0.72___________¾.
Chapter 4 Probability The description of sample data is only a preliminary part of a statistical analysis. A major goal is to make generalizations or inferences.
Counting Principles and Probability Digital Lesson.
Probability Chapter 3. § 3.1 Basic Concepts of Probability.
Chapter 12 – Probability and Statistics 12.1 – The Counting Principle.
1 Counting Outcomes (Day 2) The Fundamental Counting Principle.
Introductory Statistics
Course: Math Lit. Aim: Counting Principle Aim: How do I count the ways? Do Now: Use , , or both to make the following statement true. {s, r, t} _____.
Sports Camp Morning Camp AerobicsRunningYogaSwimmingWeights Afternoon Camp HikingTennisVolleyballSoftball List all the possible choices available on your.
Probability Chapter 3. § 3.4 Counting Principles.
Counting Principles and Permutations. Sample Space: set of all possible outcomes in an experiment A coin is tossed twice. Represent the sample space in.
Today’s Lesson: What: probability of compound events Why: To create and analyze tree diagrams; discover and use the fundamental counting principle; and.
Probability The calculated likelihood that a given event will occur
Sec: Outcome – result of a single trial. Sample space – List of all possible outcomes. Event – consists of one or more outcomes of a trial. Independent.
11-3 Sample Spaces Warm Up 1. A dog catches 8 out of 14 flying disks thrown. What is the experimental probability that it will catch the next one? 2. If.
Applicable Mathematics “Probability” Page 113. Definitions Probability is the mathematics of chance. It tells us the relative frequency with which we.
FORM : 4 DEDIKASI PRESENTED BY : GROUP 11 KOSM, GOLDCOURSE HOTEL, KLANG FORM : 4 DEDIKASI PRESENTED BY : GROUP 11 KOSM, GOLDCOURSE HOTEL, KLANG.
Probability and Chance Random Experiment An experiment is random if – The outcome depends on chance (we are not sure of the outcome (result)) – We can.
Sixth lecture Concepts of Probabilities. Random Experiment Can be repeated (theoretically) an infinite number of times Has a well-defined set of possible.
14.2 Warm Up 1. Ms. Palomaa needs to pick a queen and king for her 1 st hour class. She has 10 girls and 12 boys in her class. How many different ways.
Express as a fraction the probability that the outcome for rolling two number cubes has a sum less than 7. Probability COURSE 3 LESSON 6-9 Make a table.
8-1: The Counting Principle English Casbarro Unit 8.
Sample Spaces COURSE 2 LESSON 12-4
Are these independent or dependent events?
Chapter 7: Probability Lesson 1: Basic Principles of Probability Mrs. Parziale.
Probability Experiments Probability experiment An action, or trial, through which specific results (counts, measurements, or responses) are obtained. Outcome.
Chapter 4: Probability. Probability of an Event Definitions An experiment is the process of observing a phenomenon that has variation in its outcomes.
Warm Up: Quick Write Which is more likely, flipping exactly 3 heads in 10 coin flips or flipping exactly 4 heads in 5 coin flips ?
Probability and Statistics for Engineers Huang Xin 2016 Jan 20.
Spring 2016 COMP 2300 Discrete Structures for Computation Donghyun (David) Kim Department of Mathematics and Physics North Carolina Central University.
PROBABILITY bability/basicprobability/preview.we ml.
Math 1320 Chapter 7: Probability 7.1 Sample Spaces and Events.
2-6 Probability Theoretical & Experimental. Probability – how likely it is that something will happen – Has a range from 0 – 1 – 0 means it definitely.
Probability Project Complete assignment on next slide on notebook paper. You need to use the interactive coin and dice on Moodle to complete assignment.
Unit 10-3 Geometric Probability
Introduction to Probability
Chapter 3 Probability Slides for Optional Sections
Choose From The Following Options
Unit 10-1 Intro to Probability
Aim: What is the counting principle?
EXAMPLE 1 Find a sample space
Probability Chapter 8.
Probability.
Probability and Counting Rules
13-5 Conditional Probability
Probability Trees By Anthony Stones.
Chapter 3 Probability.
A D D A D.
Probability How confident are you?.
Lecture 22 Section 7.1 – Wed, Oct 20, 2004
Probability.
©G Dear 2009 – Not to be sold/Free to use
I flip a coin two times. What is the sample space?
Probability and Chance
Probability and Chance
PROBABILITY: MIXED PROBLEMS
e is the possible out comes for a model
Probability and Counting
Probability Today you will need …… Orange Books Calculator Pen Ruler
NOTE 2: sample spaces There are a number of ways of displaying sample spaces: Listing outcomes 2-dimensional graphs Tree diagrams Venn diagrams.
Tree Diagrams Monday, October 15, 2012 Mr. Pearson
A random experiment gives rise to possible outcomes, but any particular outcome is uncertain – “random”. For example, tossing a coin… we know H or T will.
Presentation transcript:

experiment outcomes outcome trial outcomes experiment possible outcomes

sample space (all possible outcomes) 1st Toss H T 2nd Toss 2nd Toss H T H T possible outcomes: HH, HT, TH, TT

Coin Toss H T Dice Roll Dice Roll 1 2 3 4 5 6 1 2 3 4 5 6 possible outcomes: H1, H2, H3, H4, H5, H6, T1, T2, T3, T4, T5, T6

10 2 12 5 20 20 2 = _______ 960,000 N1 ⦁ N2 ⦁ N3 ⦁ ….. MULTIPLY!! Decisions to make Number of options  1 2 3 4 5 6 7  10 2 12 5 20 20 2 = _______ ____ x ____ x ____ x ____ x ____ x ____ x ____ 960,000 metals finish color cut left right band possible rings

4 3 2 14 = _______ 336 ____ x ____ x ____ x ____ possible pizzas How many choices for each? How many decisions?  4 3 2 14 ____ x ____ x ____ x ____ = _______ 336 size crust sauce topping possible pizzas

How many choices for each? How many decisions?  4 3 2 14 ____ x ____ x ____ x ____ = _______ 336 size crust sauce topping possible pizzas How many choices for each? How many decisions?  26 26 26 26 10 10 = _________ 45,697,600 ____ x ____ x ____ x ____ x ____ x ____ letter possible passwords letter letter letter digit digit

How many choices for each? How many decisions?  4 3 2 14 ____ x ____ x ____ x ____ = _______ 336 size crust sauce topping possible pizzas How many choices for each? How many decisions?  26 26 26 26 10 10 = _________ 45,697,600 ____ x ____ x ____ x ____ x ____ x ____ letter possible passwords letter letter letter digit digit How many choices for each? How many decisions?  25 24 23 = _________ 32,292,000 26 ____ x ____ x ____ x ____ x ____ x ____ 10 9 letter letter letter letter digit digit possible passwords

10 10 10 10 = _______ 10,000 ____ x ____ x ____ x ____ possible How many choices for each? How many decisions?  10 10 10 10 ____ x ____ x ____ x ____ = _______ 10,000 digit digit digit digit possible combinations

How many choices for each? How many decisions?  10 10 10 10 ____ x ____ x ____ x ____ = _______ 10,000 digit digit digit digit possible combinations How many choices for each? How many decisions?  26 25 24 10 = _________ 15,600,000 ____ x ____ x ____ x ____ x ____ x ____ 10 10 letter letter letter digit digit digit possible passwords