Ontario Mathematics Curriculum (K–6) Correlation to the Probability Developmental Map Phase 1 Phase 2 Phase 3 Emerging Probabilistic Thinking; Very Simple Experimental Early Probabilistic Thinking; Simple Experimental Probabilistic Thinking; More Complex Experimental; Early Theoretical Bases probability descriptions, predictions, and decisions on informal experience and very simple experimental data. Concept 1 Probability involves the use of mathematics to describe the level of certainty than an event will occur. Bases probability descriptions, predictions, and decisions on previous experience, intuitive ideas about expected probability, and simple experimental data. K: collect, display, and interpret data in daily activities Phase Grade 2:3describe probability in everyday K: use language of probability (e.g., chance, might, lucky) Grade 2: describe probability as a measure of the likelihood that an event will occur, using mathematical language (i.e., impossible, unlikely, less likely, equally likely, more likely, certain) situations and simple games Grade 1 : describe the likelihood that everyday events will happen Grade 1: describe the likelihood that everyday events will occur, using mathematical language (i.e., impossible, unlikely, less likely, more likely, certain) Grade 2: describe probability in everyday situations and simple games Grade 2: describe probability as a measure of the likelihood that an event will occur, using mathematical language (i.e., impossible, unlikely, less likely, equally likely, more likely, certain) Grade 2: describe the probability that an event will occur (e.g., getting heads when tossing a coin, landing on red when spinning a spinner) through investigation with simple games and probability experiments and using mathematical language (e.g., “I tossed 2 coins at the same time, to see how often I would get 2 heads. I found that getting a head and a tail was more likely than getting 2 heads.”) Grade 3: predict and investigate the frequency of a specific outcome in a simple probability experiment Grade 3: predict the frequency of an outcome in a simple probability experiment or game (e.g., “I predict that an even number will come up 5 times and an odd number will come up 5 times when I roll a die 10 times.”), then perform the experiment, and compare the results with the prediction, using mathematical language Grade 4: predict the results of a simple probability experiment, then conduct the experiment and compare the prediction to the results Grade 4: predict the frequency of an outcome in a simple probability experiment, explaining their reasoning, conduct the experiment, and compare the results with the prediction Bases probability descriptions, predictions, and decisions on both experimental data and analysis of theoretical outcomes. Grade 5: represent as a fraction the probability that a specific outcome will occur in a simple probability experiment, using systematic lists and models Grade 5: represent, using a common fraction, the probability that an event will occur in simple games and probability experiments (e.g., “My spinner has four equal sections and one of those sections is coloured red. The probability that I will land on red is 14.”) Grade 6: determine the theoretical probability of an outcome in a probability experiment, and use it to predict the frequency of the outcome Grade 6: express theoretical probability as a ratio of the number of favourable outcomes to the total number of possible outcomes, where all outcomes are equally likely (e.g., the theoretical probability of rolling an odd number on a six-sided number cube is 36 because, of six equally likely outcomes, only three are favourable—that is, the odd numbers, 1, 3, 5) Grade 6: represent the probability of an event (i.e., the likelihood that the even will occur), using a value from the range of 0 (never happens or impossible) to 1 (always happens or certain) Grade 6: predict the frequency of an outcome of a simple probability experiment or game, by calculating and using the theoretical probability of that outcome (e.g., “The theoretical probability of spinning red is 14 since there are four differentcoloured areas that are equal. If I spin my spinner 100 times, I predict that red should come up about 25 times.”) (Cont.) 1 of 3 August 2007 0-17-632378-3 Professional Resources and Instruction for Mathematics Educators, © 2007 Nelson, a division of Thomson Canada Limited Ontario Mathematics Curriculum (K–6) Correlation to the Probability Developmental Map (Cont.) Phase 1 Phase 2 Phase 3 Emerging Probabilistic Thinking; Very Simple Experimental Early Probabilistic Thinking; Simple Experimental Probabilistic Thinking; More Complex Experimental; Early Theoretical Bases probability descriptions, predictions, and decisions on informal experience and very simple experimental data. Concept 1 (Cont.) Probability involves the use of mathematics to describe the level of certainty than an event will occur. Concept 2 Probabilities, both theoretical and experimental, can be determined in different ways. Bases probability descriptions, predictions, and decisions on previous experience, intuitive ideas about expected probability, and simple experimental data. Phase Grade 5:3determine and represent all the possible outcomes in a simple probability experiment (e.g., when tossing a coin, the possible outcomes are heads and tails; when rolling a number cube, the possible outcomes are 1, 2, 3, 4, 5 and 6) using systematic lists and area models (e.g., a rectangle is divided into two equal areas to represent the outcomes of a coin toss experiment Grade 3: predict and investigate the frequency of a specific outcome in a simple probability experiment Grade 4: determine, through investigation, how the number of repetitions of a probability experiment can affect the conclusions drawn Grade 3: predict the frequency of an outcome in a simple probability experiment or game (e.g., “I predict that an even number will come up 5 times and an odd number will come up 5 times when I roll a die 10 times.”), then perform the experiment, and compare the results with the prediction, using mathematical language Grade 5: pose and solve simple probability problems, and solve them by conducting probability experiments and selecting appropriate methods of recording the results (e.g., tally chart, line plot, bar graph) Grade 3: demonstrate, through investigation, an understanding of fairness in a game and relate this to the occurrence of equally likely outcomes Grade 4: predict the results of a simple probability experiment, then conduct the experiment and compare the prediction to the results Grade 4: predict the frequency of an outcome in a simple probability experiment, explaining their reasoning, conduct the experiment, and compare the results with the prediction 2 of 3 August 2007 0-17-632378-3 Bases probability descriptions, predictions, and decisions on both experimental data and analysis of theoretical outcomes. Grade 6: determine the theoretical probability of an outcome in a probability experiment, and use it to predict the frequency of the outcome Grade 6: predict the frequency of an outcome of a simple probability experiment or game, by calculating and using the theoretical probability of that outcome (e.g., “The theoretical probability of spinning red is 14 since there are four differentcoloured areas that are equal. If I spin my spinner 100 times, I predict that red should come up about 25 times.”) Professional Resources and Instruction for Mathematics Educators, © 2007 Nelson, a division of Thomson Canada Limited Ontario Mathematics Curriculum (K–6) Correlation to the Probability Developmental Map (Cont.) Phase 1 Phase 2 Phase 3 Emerging Probabilistic Thinking; Very Simple Experimental Early Probabilistic Thinking; Simple Experimental Probabilistic Thinking; More Complex Experimental; Early Theoretical Bases probability descriptions, predictions, and decisions on informal experience and very simple experimental data. Skill 1 Uses organizational tools to assist in determining probabilities. Bases probability descriptions, predictions, and decisions on previous experience, intuitive ideas about expected probability, and simple experimental data. Phase Grade 5:3determine and represent all the possible outcomes in a simple probability experiment (e.g., when tossing a coin, the possible outcomes are heads and tails; when rolling a number cube, the possible outcomes are 1, 2, 3, 4, 5 and 6) using systematic lists and area models (e.g., a rectangle is divided into two equal areas to represent the outcomes of a coin toss experiment) Bases probability descriptions, predictions, and decisions on both experimental data and analysis of theoretical outcomes. Grade 5: pose and solve simple probability problems, and solve them by conducting probability experiments and selecting appropriate methods of recording the results (e.g., tally chart, line plot, bar graph) Grade 5: pose and solve simple probability problems, and solve them by conducting probability experiments and selecting appropriate methods of recording the results (e.g., tally chart, line plot, bar graph) 3 of 3 August 2007 0-17-632378-3 Professional Resources and Instruction for Mathematics Educators, © 2007 Nelson, a division of Thomson Canada Limited
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