Random Experiments. Investigating Probability. Maximilian Gartner, Walther Unterleitner, Manfred Piok

Similar documents
GCSE MATHEMATICS Intermediate Tier, topic sheet. PROBABILITY

CSC/MTH 231 Discrete Structures II Spring, Homework 5

Probability Rules. 2) The probability, P, of any event ranges from which of the following?

Tail. Tail. Head. Tail. Head. Head. Tree diagrams (foundation) 2 nd throw. 1 st throw. P (tail and tail) = P (head and tail) or a tail.

The Teachers Circle Mar. 20, 2012 HOW TO GAMBLE IF YOU MUST (I ll bet you $5 that if you give me $10, I ll give you $20.)

Probability. March 06, J. Boulton MDM 4U1. P(A) = n(a) n(s) Introductory Probability

STANDARD COMPETENCY : 1. To use the statistics rules, the rules of counting, and the characteristic of probability in problem solving.

Probability (Devore Chapter Two)

Independent Events B R Y

Unit 6: What Do You Expect? Investigation 2: Experimental and Theoretical Probability

COMPOUND EVENTS. Judo Math Inc.

Part 1: I can express probability as a fraction, decimal, and percent

1. A factory makes calculators. Over a long period, 2 % of them are found to be faulty. A random sample of 100 calculators is tested.

The study of probability is concerned with the likelihood of events occurring. Many situations can be analyzed using a simplified model of probability

Section 6.1 #16. Question: What is the probability that a five-card poker hand contains a flush, that is, five cards of the same suit?

Name Class Date. Introducing Probability Distributions

Probability. Ms. Weinstein Probability & Statistics

Grade 8 Math Assignment: Probability

D1 Probability of One Event

Section A Calculating Probabilities & Listing Outcomes Grade F D

Ex 1: A coin is flipped. Heads, you win $1. Tails, you lose $1. What is the expected value of this game?

, x {1, 2, k}, where k > 0. (a) Write down P(X = 2). (1) (b) Show that k = 3. (4) Find E(X). (2) (Total 7 marks)

Presentation by Toy Designers: Max Ashley

Bell Work. Warm-Up Exercises. Two six-sided dice are rolled. Find the probability of each sum or 7

LISTING THE WAYS. getting a total of 7 spots? possible ways for 2 dice to fall: then you win. But if you roll. 1 q 1 w 1 e 1 r 1 t 1 y

4.2.4 What if both events happen?

Simulations. 1 The Concept

4.1 Sample Spaces and Events

Discrete Structures for Computer Science

OCR Maths S1. Topic Questions from Papers. Probability

SPIRE MATHS Stimulating, Practical, Interesting, Relevant, Enjoyable Maths For All

(a) Suppose you flip a coin and roll a die. Are the events obtain a head and roll a 5 dependent or independent events?

Conditional Probability Worksheet

I. WHAT IS PROBABILITY?

Lesson 11.3 Independent Events

ECON 214 Elements of Statistics for Economists

Key Concepts. Theoretical Probability. Terminology. Lesson 11-1

PRE TEST. Math in a Cultural Context*

Chapter 4: Probability

Discrete Random Variables Day 1

Lesson 4: Calculating Probabilities for Chance Experiments with Equally Likely Outcomes

Random Variables. A Random Variable is a rule that assigns a number to each outcome of an experiment.

Compound Events. Identify events as simple or compound.

Junior Circle Meeting 5 Probability. May 2, ii. In an actual experiment, can one get a different number of heads when flipping a coin 100 times?

1.5 How Often Do Head and Tail Occur Equally Often?

A Probability Work Sheet

Grade 7/8 Math Circles February 25/26, Probability

Random Variables. Outcome X (1, 1) 2 (2, 1) 3 (3, 1) 4 (4, 1) 5. (6, 1) (6, 2) (6, 3) (6, 4) (6, 5) (6, 6) }

From Probability to the Gambler s Fallacy

Aztec Secrets Game Rules. Chance to Win: This game has an RTP of 95.50%

Lesson 4: Calculating Probabilities for Chance Experiments with Equally Likely Outcomes

Applications of Independent Events

10. Because the order of selection doesn t matter: selecting 3, then 5 is the same as selecting 5, then 3. 25! 24 = 300

Probability. Sometimes we know that an event cannot happen, for example, we cannot fly to the sun. We say the event is impossible

PROBABILITY M.K. HOME TUITION. Mathematics Revision Guides. Level: GCSE Foundation Tier

Suppose Y is a random variable with probability distribution function f(y). The mathematical expectation, or expected value, E(Y) is defined as:

ITEC 2600 Introduction to Analytical Programming. Instructor: Prof. Z. Yang Office: DB3049

Foundations of Probability Worksheet Pascal

Skills we've learned. Skills we need. 7 3 Independent and Dependent Events. March 17, Alg2 Notes 7.3.notebook

Name Date. Probability of Disjoint and Overlapping Events For use with Exploration 12.4

CS1802 Week 9: Probability, Expectation, Entropy

Name. Is the game fair or not? Prove your answer with math. If the game is fair, play it 36 times and record the results.

4.3 Rules of Probability

Probability: Anticipating Patterns

Statistics 1040 Summer 2009 Exam III

Lesson 3: Chance Experiments with Equally Likely Outcomes

Vowel A E I O U Probability

Raise your hand if you rode a bus within the past month. Record the number of raised hands.

Probability with Set Operations. MATH 107: Finite Mathematics University of Louisville. March 17, Complicated Probability, 17th century style

Unit 9: Probability Assignments

CS 237: Probability in Computing

A. 15 B. 24 C. 45 D. 54

Data Analysis and Numerical Occurrence

PLC Papers Created For:

MEP Practice Book SA5

Unit 1B-Modelling with Statistics. By: Niha, Julia, Jankhna, and Prerana

1. How to identify the sample space of a probability experiment and how to identify simple events

Math Steven Noble. November 24th. Steven Noble Math 3790

Probability. The Bag Model

Intermediate Math Circles November 1, 2017 Probability I

Year 9 Unit G Revision. Exercise A

MATH STUDENT BOOK. 7th Grade Unit 6

Chapter-wise questions. Probability. 1. Two coins are tossed simultaneously. Find the probability of getting exactly one tail.

Probability, Continued

Probability - Chapter 4

PRE TEST KEY. Math in a Cultural Context*

Outcome X (1, 1) 2 (2, 1) 3 (3, 1) 4 (4, 1) 5 {(1, 1) (1, 2) (1, 3) (1, 4) (1, 5) (1, 6) (6, 1) (6, 2) (6, 3) (6, 4) (6, 5) (6, 6)}

RANDOM EXPERIMENTS AND EVENTS

Functional Skills Mathematics

Page 1 of 22. Website: Mobile:

Teaching Randomness Using Coins and Dice

S = {(1, 1), (1, 2),, (6, 6)}

Basic Probability Concepts


Probability. The MEnTe Program Math Enrichment through Technology. Title V East Los Angeles College

PROBABILITY. 1. Introduction. Candidates should able to:

Probability Models. Section 6.2

Probability - Introduction Chapter 3, part 1

Finite Mathematics MAT 141: Chapter 8 Notes

MEP Practice Book ES5. 1. A coin is tossed, and a die is thrown. List all the possible outcomes.

Transcription:

Random Experiments Investigating Probability Maximilian Gartner, Walther Unterleitner, Manfred Piok Intention In this learning environment, different random experiments will be tested with dice and coins to enable the pupils to become familiar with the term probability in both single step experiments and compound experiments. The pupils should recognize the connection between statistical probability and traditional probability and be familiar with the expected value and the effects of random fluctuations. About six lessons are recommended for this learning environment. Background of Subject Matter In the lesson, the following topics will be covered: Statistical probability Presentation and distribution of values in random experiments Chances and probability of success Computer based simulation of random experiments Random fluctuation Methodical Advice The pupils will work together in groups of two to three in order to solve the tasks. The solutions will then be presented and discussed in class. The Excel documents can be downloaded at: www.keycomath.eu The pupils can otherwise develop these themselves in cooperation with the teacher for computer science. As a result, more lessons will be required to complete the tasks.

Practical Experience from Lessons Is the Die Marked? The pupils noticed that it is possible to throw three sixes in a row. Some argue with numerical prob ability, others with their own experience or special throwing techniques. Two Time Throw Flipping a Coin: Most of the pupils are able to name the four possible outcomes. However not all know that all four events are equal in probability. Throwing the Dice: The argumentations about throwing the dice twice are quite different. Most of the pupils acknowledge that the probability of a six in one throw is. Some can even translate this to two throws. Many pupils have problems with giving valid estimations. The pupils discuss their estimations about the 600 throws with two dice in groups of four to five. Some groups argue with their experience from the previous experiments, other groups argue with probability in general.

Throwing Two Dice The question about a fair game is answered very differently. The question whether this game was fair war answered mostly empirically.

Developing Game Variants The variants were very different both in completeness and complexity. Performance Rating The developed material will be handed in together with the work and will be used in rating the performance.

Random Experiments 1 Is the Die Marked? While playing Mensch ärgere Dich nicht, Franz has thrown three sixes in a row. Peter is annoyed and claims that Franz has used a marked die. What do you think about this? Argue. 2 Two Time Throw Flipping a Coin A coin is flipped twice. It is being noted down which side is up. Try to describe all possible outcomes. Which outcome do you think is more probable: Twice the same side or two different sides? Throwing the Dice A die is thrown twice. How would you estimate the chances of throwing a certain number of sixes? Argue. Run the experiment with the two dice 50 times and report your outcome to the teacher. Has your opinion changed or was it confirmed? The Throwing the Dice -Experiment is being run 600 times. Estimate, how often the following events occur: A: Six in the first throw. B: No six in the first throw. C: Six in the second throw. D: Six in both throws. E: At least one six is thrown. Think of at least two more events and estimate their occurrence. Copy the tree diagram below into your exercise book and label the different events with their empirical probability. 1st throw six 1st throw no six six no six six no six

Throwing a Lego Brick A square Lego brick is thrown once. Determine the probability of the following events: A: The brick falls onto the base. B: The brick falls onto a side. C: The brick falls onto the side with the nubs. Argue your claims. 3 Sum of the Dice Simulation with Excel Two dice are thrown. Which sums of the dice (sums of the number of points) are possible and which sums do you think are very likely and which less likely? Argue your claim. Give the probabilities of the different sums of dice. It is possible to simulate this experiment with Excel. Open the file Random_Experiments.xlsx. Using F9 you can throw two dice 500 times. (Possibly, iterations have to be activated in the Excel options for formulae.) Run this experiment 30 times in order to have 15000 throws. Compare the result with your estimation. What do you notice? 4 Throwing Two Dice You play against a bank: Bet: 1 A die is thrown twice. If two sixes are thrown, the player wins 10. Think about if this is a fair game. At first, discuss with your neighbour what a fair game might be. Play the game 20 times with your neighbour. Note down the throws and the prizes. Collect all outcomes in class and calculate the average prize. 5 Developing Game Variants Vary the game in task 4. Possible variations: Bets and prize money Conditions for winning Flipping a coin instead of throwing the dice Number of throws Hand in two of your developed games with an analysis of their profitability.