Counting Story Project Exemplar (a level 2 grade)

Slides:



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

What can we say about probability? It is a measure of likelihood, uncertainty, possibility, … And it is a number, numeric measure.
LECTURE#2 Refreshing Concepts on Probability
Beginning Probability
As you know, there is a story about three little pigs and the houses they built. First, let’s review the story!
Probability A Coin Toss Activity. Directions: Each group will toss a fair coin ten times. On the worksheet, they will record each toss as a heads or tails.
How likely something is to happen.
Probability Sample Space Diagrams.
Chapter 3 Probability.
Data Analysis and Probability Presenters Aaron Brittain Adem Meta.
CSE 221: Probabilistic Analysis of Computer Systems Topics covered: Event algebra Probability axioms Combinatorial problems (Sec )
The Three Little Pigs Mrs. German
Probability Chapter 3. § 3.1 Basic Concepts of Probability.
McGraw-Hill/IrwinCopyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 4 and 5 Probability and Discrete Random Variables.
A Survey of Probability Concepts Chapter 5. 2 GOALS 1. Define probability. 2. Explain the terms experiment, event, outcome, permutations, and combinations.
Chapter 12 – Probability and Statistics 12.1 – The Counting Principle.
UNIT 8: PROBABILITY 7 TH GRADE MATH MS. CARQUEVILLE.
Three coins are tossed. What is the probability of getting all heads or all tails? A wheel of chance has the numbers 1 to 42 once, each evenly spaced.
Probability Chapter 3. § 3.4 Counting Principles.
The Three Little Pigs: A Counting Story Retrieved from the Ontario Association for Mathematics Education Modified by Dr. Jennifer L. Bell, LaGrange High.
Binomial Probability Distribution
Counting Principles and Permutations. Sample Space: set of all possible outcomes in an experiment A coin is tossed twice. Represent the sample space in.
Chapter 9 Review. 1. Give the probability of each outcome.
COUNTING OUTCOMES & THEORETICAL PROBABILITY 12-4.
Advanced Precalculus Advanced Precalculus Notes 12.3 Probability.
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.
FORM : 4 DEDIKASI PRESENTED BY : GROUP 11 KOSM, GOLDCOURSE HOTEL, KLANG FORM : 4 DEDIKASI PRESENTED BY : GROUP 11 KOSM, GOLDCOURSE HOTEL, KLANG.
Probability Definition : The probability of a given event is an expression of likelihood of occurrence of an event.A probability isa number which ranges.
Section 7.2.  Mutually Exclusive: pulling a jack or queen card from the deck P(a U b) = P(a) + P(b) In general, Reminder  U means union means intersection.
Sixth lecture Concepts of Probabilities. Random Experiment Can be repeated (theoretically) an infinite number of times Has a well-defined set of possible.
Warm Up Multiply. Write each fraction in simplest form. 1. 2.  Write each fraction as a decimal
Learn to find the probabilities of independent and dependent events. Course Independent and Dependent Events.
The Three little pigs. Once upon a time there were three little pigs and a hungry wolf. Each was to build a home out three different materials.
Example Suppose we roll a die and flip a coin. How many possible outcomes are there? Give the sample space. A and B are defined as: A={Die is a 5 or 6}
Pre-Algebra 9-7 Independent and Dependent Events Learn to find the probabilities of independent and dependent events.
Holt CA Course Independent and Dependent Events Warm Up Warm Up California Standards California Standards Lesson Presentation Lesson PresentationPreview.
Lecture 7 Dustin Lueker.  Experiment ◦ Any activity from which an outcome, measurement, or other such result is obtained  Random (or Chance) Experiment.
Probability Lesson 32Power Up GPage 210. Probability.
Making Predictions with Theoretical Probability. Warm Up You flip a coin three times. 1.Create a tree diagram to find the sample space. 2.How many outcomes.
Probability Experiments Probability experiment An action, or trial, through which specific results (counts, measurements, or responses) are obtained. Outcome.
PROBABILITY bability/basicprobability/preview.we ml.
Discrete Math Section 16.1 Find the sample space and probability of multiple events The probability of an event is determined empirically if it is based.
Adding Probabilities 12-5
Probability of Independent and Dependent Events
Probability 100% 50% 0% ½ Will happen Won’t happen
Chapter 3 Probability Slides for Optional Sections
Subtopic : 10.1 Events and Probability
Probability Tree for tossing a coin.
Business Statistics Topic 4
Binomials GrowingKnowing.com © 2011 GrowingKnowing.com © 2011.
Experimental probability
Pettit 9-2 Notes D7 : Compute probabilities using tree diagrams
Probability of Independent and Dependent Events
Probability of Independent and Dependent Events
Probability of Independent and Dependent Events
Chapter 3 Probability.
A D D A D.
Probability.
Probability: Test Tomorrow
Probability.
Unit 8. Day 10..
Lecture 22 Section 7.1 – Wed, Oct 20, 2004
Probability.
Chapter 4 Section 1 Probability Theory.
Section 11.7 Probability.
Probability By Mya Vaughan.
Unit 6: Application of Probability
Probability: Test Tomorrow
Review of the Binomial Distribution
Probability of Independent and Dependent Events
Presentation transcript:

Counting Story Project Exemplar (a level 2 grade) MDM4U

Once upon a time there were three little pigs. Blaise Pierre Sasha Once upon a time there were three little pigs. Blaise, Pierre and Sasha. Each little pig decided to build their own house.

Each pig can choose to build their house in the mountains, on the lake, in the forest, or in the city.

Their house can be built with wood, brick or snow, and they can choose to build one or two levels.

There were so many choices, that Blaise is confused. What choices does Blaise have? Blaise

24 The total number of mutually exclusive choices that Blaise has is ______. The collection of all possible outcomes is called the _______________________. sample space

The first little pig, Blaise doesn’t want to have the same type of house as the second little pig, Pierre. He really wants a one level wooden house in the mountains. He decides that this is fine because Pierre isn't likely to choose the same house. The probability that Pierre makes the same choice as Blaise is , or approximately _______ %

Unfortunately, Pierre has already decided on a one level wooden house in the mountains. So, Blaise and Pierre decided to toss a coin 10 times to decide who would build this house. Blaise called Heads on each toss. Make a prediction: Who do you think will build the house? Will it always be the person you chose? Explain. Continue the Story TALLY Heads Tails

In groups of three continue the story including at least one of these concepts: