Rock, paper, scissors Tally Frequency Player 1 Player 2 Draw

Slides:



Advertisements
Similar presentations
Designing Investigations to Predict Probabilities Of Events.
Advertisements

Introduction to Probability
Probability What are your Chances?
Gl: Students will be expected to conduct simple experiments to determine probabilities G2 Students will be expected to determine simple theoretical probabilities.
Probability (Unit 5) Is the likelihood or chance of an even occurring.
Lesson Plan - APP Probability Mental and Oral Starter Pupils to revisit the never heard the word grid to check their understanding of the key words. Main.
Combined Events Statistics and Probability. Finding all possible outcomes of two events Two coins are thrown. What is the probability of getting two heads?
Theoretical and Estimated Probabilities. Theoretical probability is what we would expect to get as an outcome based on their probability. Like tossing.
Math notebook, pencil, and possibly calculator. Definitions  An outcome is the result of a single trial of an experiment.  The sample space of an experiment.
Learn to estimate probability using theoretical methods.
Probability Review. Vocabulary Probability: the chance of an event happening or occurring. Theoretical Probability: It is the chances of an event happening.
Probability. The probability of an event occurring is between 0 and 1 If an event is certain not to happen, the probability is 0 eg: the probability of.
Nuffield Free-Standing Mathematics Activity
Section 5.1 Constructing Models of Random Behavior.
Probability What is the probability of rolling the number 2 on a dice?
Bell Work A card is drawn at random from the cards shown and not replaced. Then, a second card is drawn at random. Find each probability. 1. P(two even.
Bell Work: Factor x – 6x – Answer: (x – 8)(x + 2)
A multiple-choice test consists of 8 questions
Preview Warm Up California Standards Lesson Presentation.
Topic 1: Probability and Sample Space
Unit 5 Probability.
CONFIDENTIAL 1 Algebra1 Theoretical Probability. CONFIDENTIAL 2 Warm Up 1) choosing a heart. 2) choosing a heart or a diamond. An experiment consists.
The information has been taken off these graphs. Can you think of a caption for each probability distribution? ab c.
Anchor Activity NDA GAMES DAY You and a partner will create a game involving some form of probability. You will need to have rules (explained) What are.
Probability Distributions. Essential Question: What is a probability distribution and how is it displayed?
Level34567 Probability Skills I can use the probability words impossible, certain and even chance to describe the probability of an event occurring. I.
Introduction to Probability © Christine Crisp “Teach A Level Maths” Statistics 1.
Probability Introduction Examples Key words Practice questions Venn diagrams.
Consider This… NAEP item: The two fair spinners shown below are part of a carnival game. A player wins a prize only when both arrows land on black after.
Expected Value.
Y9 Booster Lesson 11. Objectives – what you should be able to do by the end of the lesson Systematically record all the outcomes of an experiment Understand.
The Wonderful World… of Probability. When do we use Probability?
5.1 Probability in our Daily Lives.  Which of these list is a “random” list of results when flipping a fair coin 10 times?  A) T H T H T H T H T H 
Fair and Unfair Games Laura Smiley. What makes a game… FairUnfair.
WOULD YOU PLAY THIS GAME? Roll a dice, and win $1000 dollars if you roll a 6.
Theoretical Probability. Turn to textbook page 239 to play Never a Six. (See handout for game board.)
12.1 – Probability Distributions
Unit 4: Probability Day 2: Basic Probability. Standards and Benchmarks Select and apply counting procedures, such as the multiplication and addition.
Expected Value and Fair Game S-MD.6 (+) Use probabilities to make fair decisions (e.g., drawing by lots, using a random number generator). S-MD.7 (+) Analyze.
S U C C E S S I O N. Z Z Scissors Paper Stone  Scissors beats paper (cuts it)  Paper beats rock (wraps it)  Rock beats scissors (blunts it)
ENRICHING STUDENTS MATHEMATICAL INTUITIONS WITH PROBABILITY GAMES AND TREE DIAGRAMS NCTM PRESENTATION BY: ADOLFO CANON Rice University Summer.
Probability. Today we will look at… 1.Quick Recap from last week 2.Terminology relating to events and outcomes 3.Use of sample spaces when dealing with.
2-6 Probability Theoretical & Experimental. Probability – how likely it is that something will happen – Has a range from 0 – 1 – 0 means it definitely.
Probability Project Complete assignment on next slide on notebook paper. You need to use the interactive coin and dice on Moodle to complete assignment.
“SKUNK” Activity. INTRODUCTION TO PROBABILITY MR. RAGLON 7 TH GRADE MATH C.E. KING 2014.
Probability Fun For Grade 4, 5 and 6.
Copyright © 2016, 2013, and 2010, Pearson Education, Inc.
(Single and combined Events)
Unit 5: Probability Basic Probability.
12.1 – Probability Distributions
Game Theory “How to Win the Game!”.
3:4 1/7 2:2 £720 20% 45% 2:3 2/3 3:1.
5.2 Probability
Relative Frequency.
Student Activity 1: Fair trials with two dice
Chapter 3.1 Probability Students will learn several ways to model situations involving probability, such as tree diagrams and area models. They will.
PB2 Multistage Events and Applications of Probability
S U C C E S S I O N P(N chosen) = 1 10 P(S chosen) = 3 10
RAG Starter Activity Complete the ‘Heard the Word Grid.’
Probability Die Difference and Uncertainty
Probability Vocabulary:
Probability.
Investigation 2 Experimental and Theoretical Probability
5-8 Probability and Chance
Probability of two events
Complete the sample space diagram on your whiteboards
Probability.
Homework Due Tomorrow mrsfhill.weebly.com.
Presentation transcript:

Rock, paper, scissors Tally Frequency Player 1 Player 2 Draw Two player game Take turns and record the results Tally Frequency Player 1 Player 2 Draw

Rock, paper, scissors Player 1 Player 2 Result Stone Scissors Continue the table below showing ALL POSSIBLE OUTCOMES Player 1 Player 2 Result Stone Scissors Player 1 WINS

Rock, paper, scissors Player 1 Player 2 Result Rock Scissors Player 1 WINS Draw Paper Player 2 WINS

Rock, paper, scissors PLAYER 1 Rock Paper Scissors R, R PLAYER 2

Rock, paper, scissors Answer these questions in your books Who is more likely to win? Explain why this is a fair game to play. After 60 games, how many games should be a draw? Why are the frequencies not all the same? How can you even up the results for each player?

Rock, paper, scissors Who is more likely to win? Noone Explain why this is a fair game to play. As all possible outcomes are equally likely After 60 games, how many games should be a draw? Theoretically, 20. Why are the frequencies not all the same? Because this is just an experiment How can you even up the results for each player? You should play many more games

Rock, paper, scissors Calculating chance PROBABILITY = a measured chance of something happening. PROBABILITY = Favourable outcomes TOTAL number of outcomes Eg. The probability of winning at Rock, Paper, scissors is….

Combining two events Coin 1 Coin 2 HH HT TH TT Here is another sample space diagram. What is it showing? Coin 1 Coin 2 HH HT TH TT

Combining two events Spinner 1 Spinner 2 Here is another sample space diagram. Complete the table. Spinner 1 Red Blue Green Yellow 1 2 3 Spinner 2 Draw the two possible spinners

Combining two events Spinner 1 Spinner 2 The score from two spinners are added together. Spinner 1 1 2 3 4 Spinner 2 Complete this sample space diagram

Combining two events Spinner 1 Spinner 2 Here are the answers… Spinner 1 1 2 3 4 5 6 7 Spinner 2 Which scores are most likely to occur?

Combining two events Two normal dice are rolled at the same time. Design a sample space diagram that can record the sum of the scores of the two dice.

Combining two events DICE SCORE 1 1 2 3 4 5 6 8 DICE SCORE 2

Combining two events DICE SCORE 1 1 2 3 4 5 6 7 8 9 10 11 12

Expected frequency = 100 DRAWS Expected frequency = probability x number of trials You can use the probability of an event to predict the number of times an outcome might happen. Example : Two people play the game Rock, Paper, Scissors, 300 times. Estimate the number of draws there will be. Out of 300 games, we would EXPECT = 100 DRAWS

Questions Expected frequency = probability x number of trials 1. A dice is rolled 90 times. How many sixes would you expect? 2. A coin is flipped 80 times. How many heads would you expect? 3. Two out of three people prefer Summer than winter holidays. Out of 1000 people asked, how many prefer Summer holidays? 4. 1 out of every 8 people in England are vegetarian. How many vegetarians are there in england (Pop. England = 64 million)

Relative frequency Relative frequency = estimated probability You can ESTIMATE probability using an experiment or historical information Example : A train is late 5 times in April. Estimate the probability that it will be late on the first day of May. Out of 30 days, 5 days the train was late. So P(Train is late) =

Relative frequency Certificate Frequency Gold 14 Silver 49 Bronze 25 Relative frequency = frequency of event total frequency A table shows the levels achieved by 100 students in a maths challenge competition . Estimate the probability that : Certificate Frequency Gold 14 Silver 49 Bronze 25 Pass 12 (a) A student achieves a gold certificate (b) A student achieves a pass (c) Which certificate are students most likely to achieve