Chapter 22 E. Outcomes of Different Events When the outcome of one event affects the outcome of a second event, we say that the events are dependent.

Slides:



Advertisements
Similar presentations
Probability of Multiple Events (Independent and Dependent Events)
Advertisements

Holt Algebra Independent and Dependent Events 11-3 Independent and Dependent Events Holt Algebra 2 Warm Up Warm Up Lesson Presentation Lesson Presentation.
Bell Work 35/100=7/20 15/100 = 3/20 65/100 = 13/20 Male
Independent and Dependent events. Warm Up There are 5 blue, 4 red, 1 yellow and 2 green beads in a bag. Find the probability that a bead chosen at random.
Copyright © Cengage Learning. All rights reserved. 8.6 Probability.
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc. Chap 4-1 Business Statistics: A Decision-Making Approach 7 th Edition Chapter.
Math 310 Section 7.2 Probability. Succession of Events So far, our discussion of events have been in terms of a single stage scenario. We might be looking.
Algebra1 Independent and Dependent Events
Independent and 10-7 Dependent Events Warm Up Lesson Presentation
Review of Probability.
Chapter 3 Section 3.2 Basic Terms of Probability.
Classify each pair of events as dependent or independent.
Sample Spaces, Subsets and Basic Probability CCM2 Unit 6: Probability.
10-5, 10-6, 10-7 Probability EQ: How is the probability of multiple events calculated?
S.CP.A.1 Probability Basics. Probability - The chance of an event occurring Experiment: Outcome: Sample Space: Event: The process of measuring or observing.
Warm Up Find the theoretical probability of each outcome 1. rolling a 6 on a number cube. 2. rolling an odd number on a number cube. 3. flipping two coins.
Warm Up Find the theoretical probability of each outcome
Probability The calculated likelihood that a given event will occur
7th Probability You can do this! .
Independent and Dependent Events Goal: To find the probability of two independent or two dependent events.
UNIT 6 – PROBABILITY BASIC PROBABILITY. WARM UP Look through your notes to answer the following questions Define Sample Set and describe the sample set.
Copyright © Cengage Learning. All rights reserved. 8.6 Probability.
DEFINITION  INDEPENDENT EVENTS:  Two events, A and B, are independent if the fact that A occurs does not affect the probability of B occurring.
(c) 2007 IUPUI SPEA K300 (4392) Probability Likelihood (chance) that an event occurs Classical interpretation of probability: all outcomes in the sample.
Introduction  Probability Theory was first used to solve problems in gambling  Blaise Pascal ( ) - laid the foundation for the Theory of Probability.
Compound Events COURSE 2 LESSON 12-5
Warm Up Find the theoretical probability of each outcome
Probability of Multiple Events.  A marble is picked at random from a bag. Without putting the marble back, a second one has chosen. How does this affect.
Independent and Dependent Events. Independent Events Two events are independent if the outcome of one event does not affect the outcome of a second event.
Multiplication Rule Statistics B Mr. Evans. Addition vs. Multiplication Rule The addition rule helped us solve problems when we performed one task and.
Math 145 September 18, Terminologies in Probability  Experiment – Any process that produces an outcome that cannot be predicted with certainty.
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 ?
Sample Spaces, Subsets and Basic Probability
No Warm-Up today. You have a Quiz Clear your desk of everything but a calculator and something to write with.
Independent and Dependent Events Lesson 6.6. Getting Started… You roll one die and then flip one coin. What is the probability of : P(3, tails) = 2. P(less.
Unit 4 Probability Day 3: Independent and Dependent events.
Warm Up What is the theoretical probability of rolling a die and landing on a composite number?
9.7 – Probability of Multiple Events. Consider the Following:  A marble is picked at random from a bag. Without putting the marble back, a second one.
Chapter 10 PROBABILITY. Probability Terminology  Experiment: take a measurement Like flipping a coin  Outcome: one possible result of an experiment.
Terminologies in Probability
2.3 Probability and Odds Objective: Given a description an event, find the probability and/or the odds of the event happening (including replacement and.
Independent and Dependent Events
Copyright © 2016, 2013, and 2010, Pearson Education, Inc.
9.7 – Probability of Multiple Events
Math 145 September 25, 2006.
Sample Spaces, Subsets and Basic Probability
Chapter 3.1 Probability Students will learn several ways to model situations involving probability, such as tree diagrams and area models. They will.
Probability.
Sample Spaces, Subsets and Basic Probability
Warm Up Which of the following are combinations?
Terminologies in Probability
Terminologies in Probability
Events are independent events if the occurrence of one event does not affect the probability of the other. If a coin is tossed twice, its landing heads.
Terminologies in Probability
Warm Up There are 5 blue, 4 red, 1 yellow and 2 green beads in a bag. Find the probability that a bead chosen at random from the bag is: 1. blue 2.
Warm Up There are 5 blue, 4 red, 1 yellow and 2 green beads in a bag. Find the probability that a bead chosen at random from the bag is: 1. blue 2.
Terminologies in Probability
©G Dear 2009 – Not to be sold/Free to use
Basic Probability Unit 6 – probability.
Sample Spaces, Subsets and Basic Probability
Independent and 10-7 Dependent Events Warm Up Lesson Presentation
Independent and Dependent Events Warm Up Lesson Presentation
Math 145 June 26, 2007.
Terminologies in Probability
Math 145 February 12, 2008.
Events are independent events if the occurrence of one event does not affect the probability of the other. If a coin is tossed twice, its landing heads.
Sample Spaces, Subsets and Basic Probability
Terminologies in Probability
Probability of Independent Event
Presentation transcript:

Chapter 22 E

Outcomes of Different Events When the outcome of one event affects the outcome of a second event, we say that the events are dependent. When one outcome of one event does not affect a second event, we say that the events are independent.

Classify each pair of events as dependent or independent. Probability of Multiple Events a.Spin a spinner. Select a marble from a bag that contains marbles of different colors. Since the two events do not affect each other, they are independent. b.Select a marble from a bag that contains marbles of two colors. Put the marble aside, and select a second marble from the bag. Picking the first marble affects the possible outcome of picking the second marble. So the events are dependent.

Decide if the following are dependent or independent An expo marker is picked at random from a box and then replaced. A second marker is then grabbed at random. Two dice are rolled at the same time. An Ace is picked from a deck of cards. Without replacing it, a Jack is picked from the deck. Independent Dependent

How to find the Probability of Two Independent Events If A and B are independent events, the P(A and B) = P(A) ● P(B)  Ex: If P(A) = ½ and P(B) = 1/3 then P(A and B) =

Example: Finding the Probability of Independent Events Tossing red, then white, then yellow. The result of any toss does not affect the probability of any other outcome. 4 of the 6 sides are red; 1 is white; 1 is yellow. A 6-sided die has 4 red sides, one side is white, and one side is yellow. Find the probability. P(red, then white, and then yellow) = P(red)  P(white)  P(yellow)

Events are dependent events if the occurrence of one event affects the probability of the other. For example, suppose that there are 2 lemons and 1 lime in a bag. If you pull out two pieces of fruit, the probabilities change depending on the outcome of the first.

The tree diagram shows the probabilities for choosing two pieces of fruit from a bag containing 2 lemons and 1 lime. The probability of a specific event can be found by multiplying the probabilities on the branches that make up the event. For example, the probability of drawing two lemons is

Homework Responsible for ALL of section E (both E1 & E2)

Chapter 22 G – Sampling With & Without Replacement

With Replacement – Coin tosses, dice, Roulette, and DNA. “ memoryless ” – After you get heads, you have an equally likely chance of getting a heads on the next toss (unlike in Poker, where you can’t draw the same card twice from a single deck). What’s the probability of getting two heads in a row (“HH”) when tossing a coin? H H T T H T Toss 1: 2 outcomes Toss 2: 2 outcomes 2 2 total possible outcomes: {HH, HT, TH, TT} With Replacement

What’s the probability of 3 heads in a row? With Replacement H H T T H T Toss 1: 2 outcomes Toss 2: 2 outcomes Toss 3: 2 outcomes H T H T H T H T HHH HHT HTH HTT THH THT TTH TTT

WITH REPLACEMENT — You have a bag containing 3 red, 2 blue, and 1 yellow moist socks. What is P(B & R) – In order? PUT the first sock back in the bag

Without Replacement Without replacement — Think cards (w/o reshuffling) and seating arrangements. Example: You have a bag containing 3 red, 2 blue, and 1 yellow moist socks. What’s the probability we pull 1 blue AND 1 red if we don’t put the first sock back in the bag?

WithOUT Replacement WithOUT —You have a bag containing 3 red, 2 blue, and 1 yellow moist socks. What is P(B & R)? DON’T PUT the first sock back in the bag

Homework Page 589 (1 – 10) I would pay close attention to #10