Understanding by Design Title: Subject/Course: Topic: Grades: Designers: PROBABILITY Math Probability 6 Joanne Mohan, Amy Brown, Kim Grubich, Jill Martin Stage 1 - Desired Results Established Goals: Students pose questions and collect , organize, represent, interpret and analyze data to answer those questions. Students develop and evaluate inferences, predictions and arguments that are based on data. Benchmark H: Find all possible outcomes of simple experiments or problem situations, using methods such as lists, arrays, and tree diagrams. Benchmark I: Describe the probability of an event using ratios, including fractional notation. Benchmark J: Compare experimental and theoretical results for a variety of simple experiments. Benchmark K: Make and justify predictions based on experimental and theoretical probabilities. Understandings: Students will understand that… Experiments can be designed to answer questions. Answers are justified based upon the data that is collected and organized Outcomes and probability can be determined through interpreting and analyzing data Inferences, predictions and arguments are based upon the data collected Essential Questions: How is an experiment designed to test probability? What organizational tools are best to represent the data? How is probability assigned using fractions, ratios, and percents? How are inferences and predictions made and justified based upon data? .How do I determine the difference between theoretical and experimental results? Theoretical and experimental results of an experiment may vary. Probability can be expressed as fractions, ratios or percents. Students will know... Vocabulary: Theoretical and experimental data outcome; probability The results of an experiment may or may not support the theoretical data. What a logical inference is Students will be able to.... Find possible outcomes using lists, arrays, tree diagrams and other appropriate organizers Make logical inferences from statistical data Design an experiment to test theoretical probability Justify the results of an experiment Represent all possible outcomes of simple experiments as fractions, ratios or percents. Stage 2 – Assessment Evidence Performance Tasks: In teacher assigned groups of 3 or 4, develop and create a fair game for one player. Use a tree diagram to state the theoretical probability. Present your findings as a fraction, ratio, and percent. Explain why this game is fair. Make a prediction based upon your theoretical probability. Have at least 25 different people play your game and record the results. Present the experimental results as a fraction, ratio and percent. Write a summary statement comparing your theoretical results with the experimental results. Show the tree diagram, data, prediction and summary statement in poster format. Other Evidence Journal entry- What are the components of a fair game. Quiz(zes)- Probability/Tree Diagrams/Predictions Journal Entry- Given an unfair game (Lucky Coin Toss), students will explain why it is not fair and change the rules to make it fair. Stage 3 – Learning Plan Introductory Activities Days 1 - 3 Collections of Math Lessons (introductory activities) probability investigations, pg 65 – 79 Probability Reference Page for students – Dale Seymour Marilyn Burns: 50 Problem Solving Activities: Probability Tile Games HW day 3: Exploring Probability – Dale Seymour pg 3 E.M: 7.1, Probability of Equally Likely Outcomes (spinners, dominos and dice) Days 4 - 12 Go over Investigations 1 – 7 in How Likely Is It? Connected Mathematics) Over 9-10 days 1. A First Look at Chance 2. More Experiments with Chance 3. Using Spinners to Predict Chances Marilyn Burns ATM – different types of spinners, pp 64 – 75; 261-271 4. Theoretical Probabilities Everyday Mathematics 7.4, Using Tree Diagrams to find expected outcomes 7.5, Using Tree Diagrams to calculate probabilities Three Door Puzzle (sieve or tree diagram type activity) TI Explorations grades 6 and 7: “Probably not!” (theoretical v empirical – advanced activity) 5. Analyzing Games of Chance TI Explorations grades 5 and 6:”Hey, that’s not fair!” (or is it?) (fair vs. unfair) Why aren’t there more reds in my bag? Dale Seymour Exploring Statistics in the Elementary Grades book 2 pp 68 – 93 E.M.: 7.7 Fair and Unfair games 6. More About Games of Chance 7. Probability and Genetics Extra materials: Marilyn Burns: About Teaching Mathematics:: pp 59 – 61 overview of ways to collect data “big ideas” Creative Publications (short warm up type activities)