Simulating Experiments on the TI Section 5.3.2. Starter 5.3.2 Use the random integer generator in your calculator to choose an SRS of 5 students from.

Slides:



Advertisements
Similar presentations
AP STATISTICS Simulation “Statistics means never having to say you're certain.”
Advertisements

Chapter 5.3: Simulation. Random  We call a phenomenon RANDOM if individual outcomes are uncertain but there is nonetheless a regular distribution of.
AP STATISTICS Simulating Experiments. Steps for simulation Simulation: The imitation of chance behavior, based on a model that accurately reflects the.
D1: 5.1 The Study of Randomness h.w: p 293: 1–11 odd, 15,17
How can you tell which is experimental and which is theoretical probability? You tossed a coin 10 times and recorded a head 3 times, a tail 7 times.
Lesson  In this investigation you will explore the predictability of random outcomes. You will use a familiar random process, the flip of a coin.
3.6: Probabilities Through Simulations Objective: To simulate probabilities using random number tables and random number generators CHS Statistics.
The Central Limit Theorem Section Starter Assume I have 1000 pennies in a jar Let X = the age of a penny in years –If the date is 2007, X = 0 –If.
The Practice of Statistics
 The Law of Large Numbers – Read the preface to Chapter 7 on page 388 and be prepared to summarize the Law of Large Numbers.
CORE 1 Patterns in Chance. Daily Starter Begin Handout.
Chapter 11: understanding randomness (Simulations)
Copyright © 2010 Pearson Education, Inc. Unit 3: Gathering Data Chapter 11 Understanding Randomness.
Section 5.1 What is Probability? 5.1 / 1. Probability Probability is a numerical measurement of likelihood of an event. The probability of any event is.
Introduction to Probability
1-1 Copyright © 2015, 2010, 2007 Pearson Education, Inc. Chapter 10, Slide 1 Chapter 10 Understanding Randomness.
Section Using Simulation to Estimate Probabilities Objectives: 1.Learn to design and interpret simulations of probabilistic situations.
The Birthday Problem Section The Birthday Problem What is the probability that in a group of 37 students at least two of them share a birthday?
Probability Simulation The Study of Randomness.  P all  P all.
AP STATISTICS LESSON SIMULATING EXPERIMENTS.
1.3 Simulations and Experimental Probability (Textbook Section 4.1)
AP STATISTICS LESSON 6-1 Simulation. ESSENTIAL QUESTION: How can simulation be used to solve problems involving chance? Objectives: To simulate problems.
Understanding Randomness
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.
Copyright © 2006 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide
+ 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.
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.
Section 5.1.  Three ways to answer this question: 1. Actually carry out an experiment 2. Develop a probability model 3. Start with a model, and then.
Probability and Odds pg Vocabulary. Outcomes The possible results of an experiment. Ex. When you roll a number cube, there are 6 possible outcomes.
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,
Chapter 10 Understanding Randomness. Why Be Random? What is it about chance outcomes being random that makes random selection seem fair? Two things: –
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.
S ECTION 5.3 – S IMULATIONS. W HAT IS A SIMULATION ? A simulation is a mock trial of an experiment without doing the experiment. It uses theoretical probabilities.
Homework Questions. Simulations Unit 6 Experimental Estimates As the number of trials in an experiment increases, the relative frequency of an outcome.
Unit 6 Probability & Simulation: the Study of randomness Simulation Probability Models General Probability Rules.
5-Minute Check on Chapter 5 Click the mouse button or press the Space Bar to display the answers. 1.What can help detect “cause-and-effect” relationships?
Introduction Imagine the process for testing a new design for a propulsion system on the International Space Station. The project engineers wouldn’t perform.
Simulations with Binomials Mean and S.D. of Binomials Section
Random numbers. Using Random Number Table 1.Randomly select in the table a 1-digit number. Describe the position of that number (e.g. 5 th row, 13 th.
Copyright © 2009 Pearson Education, Inc. Chapter 11 Understanding Randomness.
Random Numbers Random numbers are numbers generated whose sequence have no pattern Most calculators are able to generate random integers via a command.
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
The Practice of Statistics Third Edition Chapter 8: The Binomial and Geometric Distributions Copyright © 2008 by W. H. Freeman & Company Daniel S. Yates.
Chapter 11 Understanding Randomness. What is the most important aspect of randomness? It must be fair. How is this possible? 1) Nobody can guess the outcome.
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?
Determining the theoretical probability of an event
Simple Random Sampling
CHAPTER 6 PROBABILITY & SIMULATION
Student Activity 1: Fair trials with two dice
Advanced Placement Statistics
Learning Intention Long-Run Relative Frequency
Simulating experiments
Understanding Randomness
CHAPTER 5 Probability: What Are the Chances?
Investigation 4 Analyzing Compound Events Using Area Models
Probability using Simulations
Randomness, Probability, and Simulation
Understanding Randomness
Advanced Placement Statistics
Statistics and Probability-Part 5
Understanding Randomness
Presentation transcript:

Simulating Experiments on the TI Section 5.3.2

Starter Use the random integer generator in your calculator to choose an SRS of 5 students from this class of 35. –The command is randInt(1, 35) Keep going until you have 5 non-duplicated numbers –More efficient command: randInt(1, 35, 5) generates the numbers 5 at a time With luck, this will give you 5 non-duplicated numbers with only one command. If it happens that there IS one or more duplications in the sample, repeat the command until you have the desired amount on non-duplicated numbers.

Ensuring We All Agree If I want you to all get the same sample (as in a test), I would tell you which line of the random number table to use. We can do the same on the TI with the rand command. –Enter the following: 247 →rand This is called “storing a seed” to the random number generator. –Now enter randInt(1, 35, 5) –Your sample should be students #6, 15, 24, 32, 22

Objectives Estimate probability-based outcomes of studies based on properly designed simulations and the use of a calculator’s random integer generator.

Calculator-based Simulations As with table-based simulations, the major issue is the assignment of digits to outcomes. The calculator is easier because you control which digits are possible. –With two equally likely outcomes (like coin flips), just use two digits like 0&1 or 1&2. The other digits that appear on a table are not needed here. –With two or more outcomes that are not equally likely, choose ranges of one-digit or two-digit (or more) numbers that reflect the underlying probabilities of the problem.

Example: Yesterday’s Basketball Problem A basketball player normally makes 62% of her free throws. If she takes 5 free throws in tonight’s game, What is the likelihood that she makes at least 3 of them? The hard part of this question is to figure out the assignment of digits. Think it through and carry out a simulation of 3 games. Combine class results and draw a conclusion It turns out that the theoretical answer is.716

Doing a large number of repetitions We have just seen that a single calculator command that generates multiple outcomes is a much faster way to do a simulation. That makes it practical for one person to do enough repetitions to get reasonable estimates of likelihood in a short time. Re-do the basketball problem with a normal free- throw percentage of 81% and 20 repetitions. Write your conclusion based on the 20 trials you just did. The theoretical value is.949

Using a program for simulations Link calculators to get the FREETHRO program. The program generates 100 equally likely outcomes, considers 62% of them to be “successes”, and displays the relative frequency of success Run the program to re-do the 62% basketball problem with 50 trials. Modify the program and re-do the 81% problem with 100 trials.

Objectives Estimate probability-based outcomes of studies based on properly designed simulations and the use of a calculator’s random integer generator.

Homework Read pages 293 – 295 Do problems 58, 59