Independent Events. These situations are dealing with Compound events involving two or more separate events. These situations are dealing with Compound.

Slides:



Advertisements
Similar presentations
Theoretical Probability
Advertisements

Gl: Students will be expected to conduct simple experiments to determine probabilities G2 Students will be expected to determine simple theoretical probabilities.
What is Probability Learning Intention Success Criteria
Bell Work 35/100=7/20 15/100 = 3/20 65/100 = 13/20 Male
Math notebook, pencil, and possibly calculator. Definitions  An outcome is the result of a single trial of an experiment.  The sample space of an experiment.
Unit 4 Sections 4-1 & & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process.
Probability and Chance By: Mrs. Loyacano. It is CERTAIN that I pull out a black marble.
PROBABILITY Probability is represented as a ratio of the number of ways an event actually occurs compared to the number of possible outcomes.
Dependent and Independent Events. If you have events that occur together or in a row, they are considered to be compound events (involve two or more separate.
Algebra1 Independent and Dependent Events
Bell Work: Factor x – 6x – Answer: (x – 8)(x + 2)
Simple Mathematical Facts for Lecture 1. Conditional Probabilities Given an event has occurred, the conditional probability that another event occurs.
Special Topics. General Addition Rule Last time, we learned the Addition Rule for Mutually Exclusive events (Disjoint Events). This was: P(A or B) = P(A)
Probability Section 7.1.
Dependent and Independent Events. Events are said to be independent if the occurrence of one event has no effect on the occurrence of another. For example,
The Basics of Probability Theory MATH 102 Contemporary Math S. Rook.
Chapter 7 Probability. 7.1 The Nature of Probability.
Geometric Distributions Consider a game of monopoly.
Conditional Probability Objective: I can find the probability of a conditional event.
What is Probability?. The Mathematics of Chance How many possible outcomes are there with a single 6-sided die? What are your “chances” of rolling a 6?
1.4 Equally Likely Outcomes. The outcomes of a sample space are called equally likely if all of them have the same chance of occurrence. It is very difficult.
7th Probability You can do this! .
Probability Section 7.1. What is probability? Probability discusses the likelihood or chance of something happening. For instance, -- the probability.
5.1 Probability in our Daily Lives.  Which of these list is a “random” list of results when flipping a fair coin 10 times?  A) T H T H T H T H T H 
Warm Up If Babe Ruth has a 57% chance of hitting a home run every time he is at bat, run a simulation to find out his chances of hitting a homerun at least.
WOULD YOU PLAY THIS GAME? Roll a dice, and win $1000 dollars if you roll a 6.
Basic Concepts of Probability
Chapter 12 Section 1 - Slide 1 Copyright © 2009 Pearson Education, Inc. AND.
Theoretical Probability. Turn to textbook page 239 to play Never a Six. (See handout for game board.)
9-7Independent and Dependent Events 9-7 Independent and Dependent Events (pg ) Indicator: D7.
What is the probability of two or more independent events occurring?
UNIT 3. OUTLINE: Sets and Subsets Set Operations the Laws of Set Theory Counting and Venn Diagrams. A First Word on Probability. The Axioms of Probability.
Unit 4 Section 3.1.
Probability Learning Objective: To be able to understand probability and measure the probability of an event not happening YOU MUST Be able to know how.
Lesson 7.8 Simple Probability Essential Question: How do you find the probability of an event?
Probability Lesson 32Power Up GPage 210. Probability.
Topic: Probability.
Copyright © 2009 Pearson Education, Inc. Chapter 12 Section 3 - Slide 1 P-3 Probability Odds.
Chapter 7 Sets & Probability Section 7.3 Introduction to Probability.
Theoretical Probability
Warm up Given the data points, create a stem and leaf plot and a box and whisker plot: 3, 5, 11, 34, 28, 19, 4, 6, 14, 17, 22, 30, 1, 1, 9, 10, 24, 27,
PROBABILITY 4 corners review. A.One outcome or a collection of outcomes B. Based on relative frequency- what actually occurs during an experiment C. When.
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 is the likelihood or chance of an event occurring  Probability can be calculated by: Favourable outcomes Possible outcomes Probabilities.
Independent and Dependent Events. Learning Targets Determine when events are dependent or independent. Learn to use the multiplication rule of probability.
Probability.
Probability.
Today is Tuesday.
Probability.
Tuesday, August 25, 2015 DO NOW On the opener sheet that you picked up, respond to the following questions in the “Tuesday” box Imagine that you have.
Probability.
Probability.
Probability Probability is a measure of how likely an event is to occur. For example – Today there is a 60% chance of rain. The odds of winning the lottery.
The Nature of Probability
Review Question Find the missing variable(s) for each of the problems.
PROBABILITY.
The Binomial Distribution
PROBABILITY.
Probability.
Probability Vocabulary:
Warm Up Problem of the Day Lesson Presentation Lesson Quizzes.
Probability.
Probability.
5-8 Probability and Chance
Probability.
Probability.
Probability.
Probability.
Theoretical Probability – Math 6
Chapter 11 Probability.
Presentation transcript:

Independent Events

These situations are dealing with Compound events involving two or more separate events. These situations are dealing with Compound events involving two or more separate events. When will the occurrence of one event effect the occurrence of another? When will the occurrence of one event effect the occurrence of another?

Lets Play MONOPOLY GO TO JAIL! GO TO JAIL! To get out of Jail you must roll doubles on a pair of standard diceTo get out of Jail you must roll doubles on a pair of standard dice

Lets look at the following Questions 1. Determine the probability that you will roll doubles on your first try.

Let A represent the event that a double is rolled You could get a double 1, 2,3,4,5 or 6 … This gives you 6 possible outcomes When you roll a dice there are 36 different outcomes

2. On your first two turns you failed to roll doubles. One of your opponents’ reasons that on the next turn your odds of rolling doubles is 50/50. Explain how your opponents’ reasoned this.

-A be the even that you roll a double on your first try. -B be the event that you roll a double on you second try -C be the event that you roll a double on your third try. After two unsuccessful trials, the probability has risen to 3/6 or even odds.

3. What is the probability that you will get out of jail on the third attempt?

4. After how many turns is it certain that you will roll doubles? Explains.

Infinite. There is no trial in which the probability is equal to one.

5. One of your opponents, explain that each roll of the dice is an independent event and that, since the relatively low probability of rolling doubles never changes from trial to trial, you may never get out of jail and may as well forfeit the game. Explain the flaw in this analysis. What is correct in this analysis?

While the probability of rolling doubles on any one trial is relatively low, 1/6. There is still a non-zero probability of the event occurring. In fact, over a large number of trials, we would expect to see doubles rolled once out of every six trials. Thus, you have a significant likelihood of getting out of jail before the game is over.

Summary Note In some situations involving compound events, the occurrence of one event has no effect on the occurrence of another These events are INDEPENDENT

Ex a) A coin flipped and turns up heads. What is the Probability that the second flip will turn up heads? a) A coin is flipped four times and turns up heads each time What is the probability that the fifth will turn up heads?

c) What is the probability of tossing five heads in a row? The Compound Probability of two independent events can be calculated by using the Product Rule for Independent Events

Examples 1. A coin is flipped and a spinner with three equal sections (Red, blue and yellow) is spun. What is the probability of a head and yellow? 2. A calculator has a keyboard assembly and a logic circuit. The probability of a defective keyboard is 0.05 and the probability of a defective circuit is What is the probability that a calculator will not be defective when it is assembled?

Homework! Pg 334 #1,2,3,4ab