Chapter 5.3: Simulation. Random  We call a phenomenon RANDOM if individual outcomes are uncertain but there is nonetheless a regular distribution of.

Slides:



Advertisements
Similar presentations
6.1 Simulation Probability is the branch of math that describes the pattern of chance outcomes It is an idealization based on imagining what would happen.
Advertisements

Chapter 6: Probability and Simulation
AP STATISTICS Simulation “Statistics means never having to say you're certain.”
AP STATISTICS Simulating Experiments. Steps for simulation Simulation: The imitation of chance behavior, based on a model that accurately reflects the.
Chapter 6 Probability and Simulation
D1: 5.1 The Study of Randomness h.w: p 293: 1–11 odd, 15,17
Section 5.1 and 5.2 Probability
Mathematics in Today's World
3.6: Probabilities Through Simulations Objective: To simulate probabilities using random number tables and random number generators CHS Statistics.
1 Business Statistics - QBM117 Assigning probabilities to events.
The Practice of Statistics
Section The Idea of Probability Statistics.
Special Topics. Definitions Random (not haphazard): A phenomenon or trial is said to be random if individual outcomes are uncertain but the long-term.
A multiple-choice test consists of 8 questions
Chapter 9 Introducing Probability - A bridge from Descriptive Statistics to Inferential Statistics.
Introduction to Probability
1. Try to estimate the likelihood of a result by actually observing the random phenomenon many times and calculating the relative frequency of the results.
Probability Distributions. Essential Question: What is a probability distribution and how is it displayed?
Math 15 – Elementary Statistics Sections 7.1 – 7.3 Probability – Who are the Frequentists?
Section 6.3 Binomial Distributions. A Gaggle of Girls Let’s use simulation to find the probability that a couple who has three children has all girls.
Simulating Experiments By: Justin Ross Tim Dietrich Brandon Izumi.
Probability Simulation The Study of Randomness.  P all  P all.
AP STATISTICS LESSON SIMULATING EXPERIMENTS.
AP STATISTICS LESSON 6-1 Simulation. ESSENTIAL QUESTION: How can simulation be used to solve problems involving chance? Objectives: To simulate problems.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 11 Understanding Randomness.
AP STATISTICS Section 6.1 Simulations. Objective: To be able to create and carry out a simulation. Probability: the branch of mathematics that describes.
TOSS a Coin Toss a coin 50 times and record your results in a tally chart ht.
Journal: 1)Suppose you guessed on a multiple choice question (4 answers). What was the chance that you marked the correct answer? Explain. 2)What is the.
Probability Models.  Understand the term “random”  Implement different probability models  Use the rules of probability in calculations.
5.1 Randomness  The Language of Probability  Thinking about Randomness  The Uses of Probability 1.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 5: Probability: What are the Chances? Section 5.1 Randomness, Probability,
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 5: Probability: What are the Chances? Section 5.1 Randomness, Probability,
4.3a Simulating Experiments Target Goal: I can use simulation to represent an experiment. In class FR.
Sec. 5.3: SIMULATING EXPERIMENTS C HAPTER 5: P RODUCING D ATA.
Simulating Experiments Introduction to Random Variable.
HOW WOULD YOU SOLVE THE FOLLOWING SCENARIOS? If we know the blood types of a man and a woman, what can we say about the blood types of their future children?
Warm Up 1. Does reducing screen brightness increase battery life in laptop computers? To find out, researchers obtained 30 new laptops of the same brand.
Simulation. Simulation  Simulation imitation of chance behavior based on a model that accurately reflects the phenomenon under consideration  By observing.
Simulation. Simulation is a way to model random events, such that simulated outcomes closely match real-world outcomes. By observing simulated outcomes,
5.3: Simulation NEW SEATING CHARTS NEW WEBSITE FOR NOTES.
Section 5.3 – basics of simulation Simulation – the imitation of chance behavior, based on a model that accurately reflects the experiment under consideration.
Aim: What is the importance of probability?. What is the language of Probability? “Random” is a description of a kind of order that emerges in the long.
Unit 6 Probability & Simulation: the Study of randomness Simulation Probability Models General Probability Rules.
Section The Idea of Probability AP Statistics
The Practice of Statistics Third Edition Chapter 6: Probability and Simulation: The Study of Randomness 6.1 Simulation Copyright © 2008 by W. H. Freeman.
Probability What are your Chances? Warm Up Write each fraction in simplest form
1 Copyright © 2014, 2012, 2009 Pearson Education, Inc. Chapter 9 Understanding Randomness.
Probability Models Section 6.2. The Language of Probability What is random? What is random? Empirical means that it is based on observation rather than.
Chapter 6 Section 1 The Study of Randomness. How often would this method give a correct answer if I used it very many times? If we know the blood types.
AP Statistics Chapter 5 Section 3. Chance Toss coin 10 times. What is the likelihood of a run of 3 or more consecutive heads or tails? A couple plans.
Warm-up What is the best way to answer each of the questions below: an experiment, a sample survey, or an observational study that is not a sample survey?
Slope (b) = Correlation (r) = Slope (b) = Correlation (r) = WARM UP 1.Perform a Linear Regression on the following points and.
CHAPTER 5 Probability: What Are the Chances?
Experimental Probability vs. Theoretical Probability
Chap 6.1 Simulations.
Chapter Randomness, Probability, and Simulation
CHAPTER 6 PROBABILITY & SIMULATION
PROBABILITY The probability of an event is a value that describes the chance or likelihood that the event will happen or that the event will end with.
Advanced Placement Statistics
Probability: The study of Randomness
Probability: The Study of Randomness
Warm Up 1) A t-shirt company makes shirts in sizes S, M, L, XL and XXL and in the colors chartreuse, burgundy, fuchsia and mauve. How many different types.
WARM UP: Solve the equation for height for an age of 25.
Homework: pg. 398 #4, 5 pg. 402 #10, 11 4.) A. A single random digit simulates one shot, 1-7 represents a made shot 8-10 represents a miss. Then 5 consecutive.
Section Simulation AP Statistics.
Section 6.1 The Idea of Probability
Probability using Simulations
Randomness, Probability, and Simulation
Randomness, Probability, and Simulation
Presentation transcript:

Chapter 5.3: Simulation

Random  We call a phenomenon RANDOM if individual outcomes are uncertain but there is nonetheless a regular distribution of outcomes in a large number of repetitions.

Probability  The proportion of times the outcome would occur in a very long series of repetitions. That is, probability is long-term relative frequency.

5.3 Simulation What are the chances….we can try to estimate the likelihood of a result of interest by actually carrying out an experiment many times and calculating the relative frequency. An experiment might not be possible or be too expensive. …we can simulate the sitatuion

5.3 Simulation …that is we can start with a model that, in some fashion, reflects the truth about the experiment, and then develop a procedure of imitating ---or simulating - -- a number of repetitions of the experiment.

 The more repetitions, the closer a result’s occurrence will get to it’s true likelihood.  Independence: When the result of one trial (coin toss, dice roll) has no effect or influence on the next toss.

Example: Toss a coin 10 times, what is the likelihood of a run of at least 3 consecutive heads or 3 consecutive tails? At your desk, toss the coin given to you 10 times. Record H or T for each toss. Did you have a run of three heads or three tails (yes or no)

If we use simulation, instead of actual practice, we can replicate this situation many times, very quickly, and get a more accurate likelihood, or probability. Let’s do it!

Simulation Steps  1. State the problem or describe the random phenomenon  2. State the Assumptions (there are 2)  3. Assign digits to represent outcomes (want efficiency)  4. Simulate many repetitions  5. State conclusion

Let’s practice step 3  Go to table B line 101  Write down 10 digits  Do you have 3 odds in a row? Do you have 3 evens in a row?

Be sure to keep track of whether or not the event we want (a run of at least 3 heads or at least 3 tails) occurs on each repetitions Here are the first 3 repetitions starting at line 101 in Table B. Digits: H/T: HHTTH HHTHT THHHT TTHHH HTTTH HTHHH Run of 3: YES YES YES

Now let’s run a simulation  Choose a line in Table B (different than your classmates).  On your worksheet (step 4), write down 4 groups of 10 numbers  Determine if you have a run of 3 heads or 3 tails for each group.  Let’s tally our results as a class, before we state a conclusion.

Assigning digits  Some ways more efficient than others.  Example: Choose a person at random from a group of which 70% are employed.  Example 2: Choose one person at random from a group of which 73% employed  Example 3: Choose one person at random from a group of which 50% are employed, 20% are unemployed, and 30% are not in the labor force:

Frozen Yogurt Sales example  Orders of frozen yogurt flavors (based on sales) have the following relative frequencies: 38% chocolate, 42% vanilla, 20% strawberry.  We want to simulate customers entering the store and ordering yogurt.  How would you simulate 10 frozen yogurt sales based on recent history using table?

Assigning digits to outcomes  A couple plans to have children until they have a girl or until they have 4 children, whichever comes first. What are the chances that they will have a girl among their children?

Randomizing with Calculator  Block of 5 random digits from table  Rolling a die 7 times  10 numbers from 00-99