Heads Up! A c t i v i t y 5. The Problem. Name Date

Similar documents
Name Class Date. Introducing Probability Distributions

Date. Probability. Chapter

Grade 8 Math Assignment: Probability

Lesson 8: The Difference Between Theoretical Probabilities and Estimated Probabilities

What are the chances?

Algebra I Notes Unit One: Real Number System

Math 7 Notes - Unit 7B (Chapter 11) Probability

Essential Question How can you list the possible outcomes in the sample space of an experiment?

Lesson 8: The Difference Between Theoretical Probabilities and Estimated Probabilities

Bellwork Write each fraction as a percent Evaluate P P C C 6

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

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

Math 7 Notes - Unit 11 Probability

What Do You Expect Unit (WDYE): Probability and Expected Value

What is the expected number of rolls to get a Yahtzee?

Do You See What I See?

TEKSING TOWARD STAAR MATHEMATICS GRADE 7. Projection Masters

Probability is the likelihood that an event will occur.

Empirical (or statistical) probability) is based on. The empirical probability of an event E is the frequency of event E.

Assignment 5 due Monday, May 7

Making Middle School Math Come Alive with Games and Activities

LAMC Junior Circle February 3, Oleg Gleizer. Warm-up

TJP TOP TIPS FOR IGCSE STATS & PROBABILITY

3.6 Theoretical and Experimental Coin Tosses

A prime number = Player X wins. An even number = Player X wins. A number not divisible by three = Player X wins RANDOM NUMBER GENERATOR

Making Middle School Math Come Alive with Games and Activities

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

MATH STUDENT BOOK. 7th Grade Unit 6

Chapter 5 - Elementary Probability Theory

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

Hundreds Grid. MathShop: Hundreds Grid

C M Y CM MY CY CMY K 1

November 6, Chapter 8: Probability: The Mathematics of Chance

Section Theoretical and Experimental Probability...Wks 3

Name: Class: Date: 6. An event occurs, on average, every 6 out of 17 times during a simulation. The experimental probability of this event is 11

What Do You Expect? Concepts

Mini-Unit. Data & Statistics. Investigation 1: Correlations and Probability in Data

When a number cube is rolled once, the possible numbers that could show face up are

Simulations. 1 The Concept

PRE TEST KEY. Math in a Cultural Context*

Austin and Sara s Game

MANIPULATIVE MATHEMATICS FOR STUDENTS

There is no class tomorrow! Have a good weekend! Scores will be posted in Compass early Friday morning J

Lesson 1: Chance Experiments

Lesson 16.1 Assignment

Basic Probability Concepts

Fundamentals of Probability

COMPOUND EVENTS. Judo Math Inc.

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

COUNTING AND PROBABILITY

Year 5. Mathematics A booklet for parents

Probability A = {(1,4), (2,3), (3,2), (4,1)},

UNIT 5: RATIO, PROPORTION, AND PERCENT WEEK 20: Student Packet

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?

Lesson Lesson 3.7 ~ Theoretical Probability

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

Objective: Plot points, using them to draw lines in the plane, and describe

Essentials. Week by. Week. Calculate! What is the largest product you can compute on your calculator? largest quotient?

Lecture 6 Probability

Math 1313 Section 6.2 Definition of Probability

Section A Calculating Probabilities & Listing Outcomes Grade F D

1. How many subsets are there for the set of cards in a standard playing card deck? How many subsets are there of size 8?

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

Finite Mathematics MAT 141: Chapter 8 Notes

NUMERATION AND NUMBER PROPERTIES

Basic Probability Ideas. Experiment - a situation involving chance or probability that leads to results called outcomes.

10.1 Applying the Counting Principle and Permutations (helps you count up the number of possibilities!)

SERIES Addition and Subtraction

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

The tree diagram and list show the possible outcomes for the types of cookies Maya made. Peppermint Caramel Peppermint Caramel Peppermint Caramel

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

PRE TEST. Math in a Cultural Context*

FSA 7 th Grade Math. MAFS.7.SP.1.1 & MAFS.7.SP.1.2 Level 2. MAFS.7.SP.1.1 & MAFS.7.SP.1.2 Level 2. MAFS.7.SP.1.1 & MAFS.7.SP.1.

Algebra II- Chapter 12- Test Review

Waiting Times. Lesson1. Unit UNIT 7 PATTERNS IN CHANCE

2 Event is equally likely to occur or not occur. When all outcomes are equally likely, the theoretical probability that an event A will occur is:

Math 7 /Unit 5 Practice Test: Probability

Lesson 17. Student Outcomes. Lesson Notes. Classwork. Example 1 (5 10 minutes): Predicting the Pattern in the Residual Plot

LC OL Probability. ARNMaths.weebly.com. As part of Leaving Certificate Ordinary Level Math you should be able to complete the following.

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

WORKSHOP SIX. Probability. Chance and Predictions. Math Awareness Workshops

5 Day Unit Plan. Algebra/Grade 9. JenniferJohnston

The topic for the third and final major portion of the course is Probability. We will aim to make sense of statements such as the following:

Probability - Introduction Chapter 3, part 1

Mathematics (Project Maths Phase 2)

Sample pages. Skip Counting. Until we know the pattern of numbers, we can count on from the last answer. Skip count and write the numbers as you go.

SERIES Chance and Probability

episteme Probability

JIGSAW ACTIVITY, TASK # Make sure your answer in written in the correct order. Highest powers of x should come first, down to the lowest powers.

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

Geometry Activity. Then enter the following numbers in L 1 and L 2 respectively. L 1 L

Trial version. Resistor Production. How can the outcomes be analysed to optimise the process? Student. Contents. Resistor Production page: 1 of 15

TEKSING TOWARD STAAR MATHEMATICS GRADE 6. Student Book

7.1 Chance Surprises, 7.2 Predicting the Future in an Uncertain World, 7.4 Down for the Count

Measuring in Centimeters

The next several lectures will be concerned with probability theory. We will aim to make sense of statements such as the following:

18.S34 (FALL, 2007) PROBLEMS ON PROBABILITY

2011 Summer Math Packet Students entering Fifth Grade Math

Math Fundamentals for Statistics (Math 52) Unit 2:Number Line and Ordering. By Scott Fallstrom and Brent Pickett The How and Whys Guys.

Probability. Ms. Weinstein Probability & Statistics

Transcription:

. Name Date A c t i v i t y 5 Heads Up! In this activity, you will study some important concepts in a branch of mathematics known as probability. You are using probability when you say things like: It is impossible for me to meet you after school, I am certain that our book reports are due next Monday, or It is not likely that my parents will let me go to the game. Probability is used on the television or in the newspaper with statements like The chance of rain tomorrow is 60% or The chance of selecting a winning ticket for the lottery jackpot is 1 in 10,700,000. In all of these situations, a statement is being made about how sure we are that a particular event will or will not occur. The Problem You and a partner are going to toss a coin ten times, keep a record of the results of each toss, and write down the number of times that heads came up during the ten tosses. Decide which of you will toss the coin and which will keep record of the results. Before you begin tossing the coin, decide how many heads you think you will see over the ten coin tosses and how certain you are of your prediction. Answer #1 through #4 in the Questions section. You may want to spend some time discussing the statements listed above and others that the students generate. To help develop a probability sense, you may want to focus on benchmark probabilities of 0 (impossible), 50% or ½ (likely or possible), and 100% (certain). The common terms students will place with given probabilities are interesting; for example, It is not likely my parents will let me go to the game. What probability would your students assign to the phrase not likely. A 20% chance, a 50% chance? What is their probability sense?

42 Graphing Calculator Activities for Enriching Middle School Mathematics Do your students believe that 1 out of 2, 50%,½, and 0.5 are equivalent expressions? How are they determining that? Many people believe that when you toss a coin, it should come up heads as often as it comes up tails. As your class coin tossing experiments most likely demonstrated, this does not always occur. So why do we still say that the chance of a tossed coin coming up heads is 1 out of 2 (50%, ½, or 0.5)? You will study this question in the next part of this investigation. If at all possible, you should have a graphing calculator with a ViewScreen to work with the students. We have found great success when a student gets to enter values into the calculator with the ViewScreen and the teacher walks around observing, helping, and questioning. If you are using a TI-83, the key sequence is ~ 3 2 1 Í. The display will include a left parenthesis in the expression, which will look like: ipart(2rand. Students may add the right parenthesis if they wish but it is not necessary. Depending upon your students, you may want to explain what the commands ipart and 2rand mean. The 2rand command generates random numbers greater than or equal to 0 and less than 2. You and your class may want to investigate that by entering just 2rand. The ipart command takes only the integer part of the decimal fraction, hence you will only see 0 s and 1 s displayed. Using the Calculator Many calculators can generate numbers that behave the same way as the sequence of heads and tails from repeated tossings of a coin. You and your partner are going to use such a calculator, rather than a coin, to investigate what happens to the portion of heads when you toss a coin many times. This process of using numbers rather than actual coins is an example of a simulation. Calculating the Results We will use the calculator command ipart 2rand to simulate tossing a coin. This command will randomly generate either a 0 or a 1 each time Í is pressed. For this experiment, if your calculator shows a 1, then that is the same as getting a head on a coin toss. If it shows a 0, that is the same as obtaining a tail. 1. Press ~ (selects NUM) 2:iPart Á then press (selects PRB) 1:rand Í to enter the command. Your calculator screen should look like one of the following: 2. Press Í repeatedly to simulate the tossing of a coin several times. Notice that each of the numbers is either 1 or 0. or

Activity 5: Heads Up! 43 3. Press to clear your calculator display. You and your partner are now going to simulate tossing a coin ten times. To do so, one of you must repeatedly press Í and the other must record the results in Table 5.2, Results of Simulated Coin Toss, in the Questions section. After you complete Table 5.2, answer #5 through #8 in the Questions section. Displaying a Graph You can examine a graph of the results from your coin tossing simulation on your calculator. To do so, you must first place some of your table entries into your calculator s LIST storage. 1. Press 4:ClrList y [L1] y [L2] y [L3] Í to clear the lists you need. 2. Press 1:Edit to gain access to the calculator s LIST storage. 3. Type the numbers from the column labeled L1 in Table 5.3 into the first list on your calculator. Type a number, press Í, and then repeat until all five numbers have been entered. 4. Press ~ to move to the second list. Type the numbers from the table column labeled L2 into the second list on your calculator. Instead of entering the fractions from the last column of your table, you can tell the calculator to compute these values. 5. Press ~ to move to the third list. Press } to move to the top so that L3 is highlighted. 6. Press y [L1] y [L2] Í to calculate the third list. Your calculator lists should now contain information from the last three columns of your table. To see a graph that displays some of the information from the lists: 7. Press y [STAT PLOT] Í. We find it easier to enter in one column of values, then another column of values, rather than entering rows. It is usually faster and you are prone to make fewer mistakes in entering values. Some sample data:

44 Graphing Calculator Activities for Enriching Middle School Mathematics Remind your students to press Í after moving the cursor on top of a selection. Just putting the cursor there does not select the feature. Ask why L2 and L3 were chosen for the Xlist and Ylist? Ask your students why they think these window settings were chosen. Why does the Ymax only go to 1? What about the choice of scale? Does Xscl have to be 10? Could it be 5? What makes the difference? Ask them to predict what the graph will look like. A sample display with the horizontal line at 0.5: After 50 tosses, the experimental probability will be close to but probably not exactly ½. Yet, if we tossed the coin 1000 times, we would expect the probability to come very close to ½. This stabilizing value is referred to as the theoretical probability. Theoretical probabilities can be determined by comparing the number of favorable outcomes (in this case, heads) to all possible outcomes from the experiment (heads and tails), assuming that all outcomes have an equal chance of occurring. To examine this stabilizing effect you could have the class pool all of their data and compute the summary statistics. 8. Edit the window so that yours looks like the one at the right. To highlight a selection, use the blue arrow keys to move the blinking cursor on top of the desired location and press Í. 9. Press p and edit the numbers to match those shown at the right. 10. Press s to view a line plot of the fractional part of the coin tosses that came up heads as a function of the total number of coins tossed. 11. Press y [DRAW] 3 Í to add a horizontal line that represents the decimal fraction 0.5. By examining the data around this line, you can determine how close the fractions are to ½. As you probably observed in this activity, the fraction of the tosses coming up heads varied each time a series of coins was tossed. Even with 50 tosses, it is possible that the final fraction is uncomfortably far away from the expected 0.5. If a very large number of trials were to be conducted, this experimental probability would approach and stabilize at 0.5. Some persistent people have attempted to demonstrate this principle. In the early twentieth century, the English statistician Karl Pearson tossed a coin 24,000 times and got 12,012 heads, resulting in an overall experimental value of 0.5005.

Activity 5: Heads Up! 45 Questions 1. If a coin is tossed ten times, we expect to see heads come up times. Now toss your coin ten times and record the results after each toss. Use H for head and T for tail: Table 5.1. Coin Toss Results Toss 1 2 3 4 5 6 7 8 9 10 Total Heads Result 2. Did the results from your tosses agree with your guess? 3. Compare your results with those of others in your classroom. a. What was the smallest number of heads anyone got? b. What was the largest number of heads anyone got? 4. Why do you think the results varied as much as they did? ) Return to page 42.

46 Graphing Calculator Activities for Enriching Middle School Mathematics Table 5.2. Results of Simulated Coin Toss Toss 1 2 3 4 5 6 7 8 9 10 Total Heads Result 5. What fractional part of the tosses in Table 5.2 came up heads? That is, what is number of heads total number of tosses? 6. This fraction is called the experimental probability of getting heads. Why do you think it is called an experimental probability? Notice that the subheadings in some of the column labels contain L1, L2, and L3. This notation will be useful when entering the data into the calculator since these are the headings for the lists. 7. Copy the number of heads from Table 5.2 into the first row of Table 5.3, Cumulative Simulation Results. Repeat the simulation process for four more sets of ten coin tosses. Enter your results in the table and calculate the remaining table values. Table 5.3. Cumulative Simulation Results Number of Heads Total Number of Heads (L1) Total Number of Coins Tossed (L2) Fraction of Coins Coming up Heads (L3) 1 st set of 10 tosses 2 nd set of 10 tosses 3 rd set of 10 tosses 4 th set of 10 tosses 5 th set of 10 tosses 10 20 30 40 50 10 20 30 40 50

Activity 5: Heads Up! 47 8. Did the fractional part of the coins coming up heads get closer to ½ as more coins were tossed? Explain how you know. Is that what you expected to happen? How are the students determining that the fractions in L3, 14/20, 23/40, and so on, are close to ½? This is a good time to practice equivalent or benchmark fraction ideas. ) Return to page 43, Displaying a Graph.

48 Graphing Calculator Activities for Enriching Middle School Mathematics Problems for Additional Exploration 1. If a paper cup is dropped onto a flat surface it will land either on its bottom, its top, or its side. Bottom Side Top A fifth grade student tossed a paper cup several times and made a bar graph of the results. 15 Frequency of Outcomes 10 5 0 30 trials of tossing the cup were carried out. Based upon these trials: P(Cup lands on Bottom) 5/30 = 1/6 P(Cup lands on Side) 15/30 = 1/2 P(Cup lands on Top) 10/30 = 1/3 These probabilities sum to 1. a. How many trials of the experiment did the student carry out? b. Based upon this student s experiment, what are the estimates for each of the following probabilities (where P equals Probability): P (Cup lands on Bottom): P (Cup lands on Side): P (Cup lands on Top): c. What is the sum of the three probabilities from part b?

Activity 5: Heads Up! 49 d. If another student were to toss a similar cup 120 times, about how many times would you expect the cup to land on its bottom? On its side? On its top? If 120 tosses were done, you would expect 20 to land on the bottom, 60 to land on the side, and 40 to land on the top. 2. If a thumbtack is dropped onto a hard flat surface, it will land either point up or point down. Point up Point down What probabilities do you think should be assigned to each of theses outcomes? Make a guess. Then design an experiment to approximate the experimental probability that a thumbtack will land point up. Results will vary depending upon the type of thumbtack used. The outcomes are not equally likely. For example, using a standard small-head thumbtack, we estimated the probability of the tack landing point up to be 0.7 (to the nearest tenth).

50 Graphing Calculator Activities for Enriching Middle School Mathematics