Simulations How many boxes does it take to get a complete set of pictures of Tiger Woods, Lance Armstrong, and Serena Williams if the manufacturer of the.

Slides:



Advertisements
Similar presentations
Half Life. The half-life of a quantity whose value decreases with time is the interval required for the quantity to decay to half of its initial value.
Advertisements

Copyright © 2010 Pearson Education, Inc. Slide A small town employs 34 salaried, nonunion employees. Each employee receives an annual salary increase.
CHAPTER 11: Sampling Distributions
CHAPTER 5 REVIEW.
The basics for simulations
Sampling Distribution Models Sampling distributions of Proportions and Means C.L.T.
Probability Models The Bernoulli Family. What is a Bernoulli trial? 3 characteristics: -two possibilities (yes/no, true/false, success/failure) -constant.
Chapter 7, Sample Distribution
Happiness comes not from material wealth but less desire.
Let’s Add! Click the cloud below for a secret question! Get Started!
Control Structure There are two kind of control structure in GWBASIC one is iteration/loop or repetitive and second make decision/condition. Iteration/Loop.
AP STATISTICS Simulation “Statistics means never having to say you're certain.”
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 17 Probability Models.
Binomial probability model describes the number of successes in a specified number of trials. You need: * 2 parameters (success, failure) * Number of trials,
Warm-up 5.1 Introduction to Probability 1) 2) 3) 4) 5) 6) 7)
Understanding Randomness
13-7 Modeling Randomness.
Understanding Randomness
08/08/20151 S. Berg DESCRIBING SIMULATIONS. 08/08/20152 T T R C Tool: - Definition of the probability tool - Statement of how the tool models the situation.
Chapter 11: understanding randomness (Simulations)
Chapter 5: Probability: What are the Chances?
The Cereal Box Problem By Narineh Movsessian. Random or Chance Outcomes SHow much precipitation is expected next year in the Kansas wheat belt? SHow many.
+ AP Statistics: Chapter 11 Pages Rohan Parikh Azhar Kassam Period 2.
Copyright © 2010 Pearson Education, Inc. Unit 3: Gathering Data Chapter 11 Understanding Randomness.
Statistics Pooled Examples.
Chapter 11 Randomness. Randomness Random outcomes –Tossing coins –Rolling dice –Spinning spinners They must be fair.
BINOMIAL DISTRIBUTION Success & Failures. Learning Goals I can use terminology such as probability distribution, random variable, relative frequency distribution,
Chapter 11 – Understanding Randomness 1. What is a random event? Nobody can guess the outcome before it happens. Let’s try an experiment. On the next page.
11/18/ Randomness, Probability, and Simulation.
Chapter 6 Lecture 3 Sections: 6.4 – 6.5.
Chapter 11 Understanding Randomness At the end of this chapter, you should be able to  Identify a random event.  Describe the properties of random.
Slide 11-1 Copyright © 2004 Pearson Education, Inc.
Randomness Has structure in the long run Randomness seems “Fair” 1) Nobody can predict the outcome ahead of time. 2) Some underlying set of outcomes are.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 11 Understanding Randomness.
Chapter 1 Extras More on Simulations and surveys.
Section Using Simulation to Estimate Probabilities Objectives: 1.Learn to design and interpret simulations of probabilistic situations.
Understanding Randomness
Chapter 8 Sampling Variability and Sampling Distributions.
AP STATISTICS Objective: Understanding Randomness Do Now: Take out any completed contracts, personal profiles, as well as your written design study. HW:
Chapter 11 Understanding Randomness. What is Randomness? Some things that are random: Rolling dice Shuffling cards Lotteries Bingo Flipping a coin.
Gathering Data (C11-13 BVD) C11: Understanding Randomness/Simulations.
Copyright © 2006 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide
Simulating Experiments on the TI Section Starter Use the random integer generator in your calculator to choose an SRS of 5 students from.
Randomness, Probability, and Simulation
5.2 Using Simulation to Estimate Probabilities HW: E’s 15, 17, 19, 21.
Chapter 6 Lecture 3 Sections: 6.4 – 6.5. Sampling Distributions and Estimators What we want to do is find out the sampling distribution of a statistic.
Randomness, Probability, and Simulation
Introduction Imagine the process for testing a new design for a propulsion system on the International Space Station. The project engineers wouldn’t perform.
Unit 5 Lesson 6 Probability 6.7 Estimating Probabilities using Simulations.
Stats3 Day 1 Chapter 11- using random # table. Do Now Read Handout
Copyright © 2009 Pearson Education, Inc. Chapter 11 Understanding Randomness.
AP Statistics Understanding Randomness Chapter 11.
Bell Work1/29 1) From the sequence of random numbers, select 3 distinct numbers (no repeats) between 1 and 50, reading from left to right
Statistics 11 Understanding Randomness. Example If you had a coin from someone, that they said ended up heads more often than tails, how would you test.
1 Copyright © 2014, 2012, 2009 Pearson Education, Inc. Chapter 9 Understanding Randomness.
Stats 8/26/13 1. Check homework C11 #2-9 Ch 11 Practice
Chapter 8: The Binomial and Geometric Distributions 8.2 – The Geometric Distributions.
Chapter 11 Understanding Randomness. Practical Randomness Suppose a cereal company puts pictures of athletes on cards in boxes of cereal in hopes to boost.
Simulations and Normal Distribution Week 4. Simulations Probability Exploration Tool.
Why Be Random? What is it about chance outcomes being random that makes random selection seem fair? Two things: Nobody can guess the outcome before it.
More QUIZ REVIEW 1. A university wants to open application envelops to find TWO applicants with SAT scores over If scores have an average of 1500.
Understanding Randomness
Tuesday, October 11, 2016 Warm-up
Chapter 5: Probability: What are the Chances?
Chapter 17 Part 1 The Geometric Model.
Additional notes on random variables
Additional notes on random variables
CHAPTER 5 REVIEW.
5.1: Randomness, Probability and Simulation
Presentation transcript:

Simulations How many boxes does it take to get a complete set of pictures of Tiger Woods, Lance Armstrong, and Serena Williams if the manufacturer of the cereal randomly put 20% Tiger, 30% Lance and 50% Serena pictures in the cereal boxes?

Vocabulary Simulation Components Trial

Steps for making a simulation 1. Identify the component to be repeated 2. Explain how you will model the outcome 3. Explain how you will simulate the trial. 4. State clearly what the response variable is. 5. Run several trials. 6. Analyze the response variable. 7. State your conclusion in context.

The Simulation The simulation: –how many boxes do I need to buy to get at least one picture of each?

Steps for making a simulation 1. Identify the component to be repeated, the situation that is repeated “selecting a box of cereal box”

Steps for making a simulation 2. Explain how you will model the outcome think of a set of numbers where 20% of them represent Tiger, 30% Lance, and 50% Serena. use 0-9 where 0-4 = Serena 5-7 = Lance 8-9 = Tiger

Steps for making a simulation 3. Explain how you will simulate the trial. a trial is a series of components until the desired goal is achieved. “opening boxes until we have one of each” selecting a random number from a random number list until we have at least one number from each group and 5-7 and 8-9

Steps for making a simulation 4. State clearly what the response variable is. what are we interested in? “how many boxes will it take to get 1 picture of each?” response variable = # of random digits until you have one from each group

Steps for making a simulation 5. Run several trials. repeat several trials – the more the better

Steps for making a simulation 6. Analyze the response variable. List all the response variables from the multiple trials and run the numbers (normal distribution – mean, stddev) What is the mean and stddev of the number of boxes from each trial. N( ______, ______ )

Steps for making a simulation 7. State your conclusion in context. Based on our simulation, we estimate that if you wanted a complete set of the three pictures you will open an average of _______ boxes of cereal.

Go to class practice

You can never trust a candy company! There are 6 flavors of fruit snacks. The company who makes them says that the packages are randomly filled but that they make 15% of every flavor expect orange and cherry of which they make 20%. You open your package and see that out of 42 candies you have 7 orange snacks. Did you get cheated out of orange snacks?

The layoffs were sexists! A medium sized firm layed off 10% of its workforce. They said the layoffs were random and no one group was targeted. Of those who were laid off, 50% were women and 50% were men but the company was made up of 70% men and only 30% women. They obviously targeted women in the layoffs because a greater percentage of women were let go compared to men. Is there enough evidence to sue the firm?