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Chapter 4: Probability Stage 5.2 – Year 10 Unit length: 2 weeks Strand: Statistics and Probability Substrand: Rationale: Students will develop a good understanding of experimental probability (or relative frequency) while engaging in practical activities illustrating probability. Students will learn to predict future outcomes and can compare this with the theoretical probability of the event. Teacher: Outcomes: Review of earlier work from Stage 4 and selections from: Probability [Stage 5.2] Dates taught: A student: • • • • Content statements: • • • selects appropriate notations and conventions to communicate mathematical ideas and solutions (MA5.2-1WM) interprets mathematical or real-life situations, systematically applying appropriate strategies to solve problems (MA5.2-2WM) constructs arguments to prove and justify results (MA5.2-3WM) describes and calculates probabilities in multi-step chance experiments (MA5.2-17SP) List all outcomes for two-step chance experiments, with and without replacement, using tree diagrams or arrays; assign probabilities to outcomes and determine probabilities for events (ACMSP225) Describe the results of two- and three-step chance experiments, with and without replacement, assign probabilities to outcomes, and determine probabilities of events; investigate the concept of independence (ACMSP246) Use the language of ‘if … then’, ‘given’, ‘of ’, ‘knowing that’ to investigate conditional statements and to identify common mistakes in interpreting such language (ACMSP247) Probability ________ to ________ Teacher reflection Strengths Weaknesses Australian Signpost Mathematics New South Wales 10 Stages 5.1–5.2 Teaching Program — Chapter 4 Copyright © Pearson Australia 2014 (a division of Pearson Australia Group Pty Ltd) ISBN 978 1 4860 0054 8 1 Resources: • • • Literacy: complementary event dependent events experimental probability independent events Foundation worksheet Interactive lessons Video • Drag-and-drop activities • Tutorial multiplication rule mutually exclusive events outcomes probability random relative frequency sample space theoretical probability trial Other two- and threestep chance experiments Australian Signpost Mathematics New South Wales 10 Stages 5.1–5.2 Teaching Program — Chapter 4 Copyright © Pearson Australia 2014 (a division of Pearson Australia Group Pty Ltd) ISBN 978 1 4860 0054 8 2 Student book / eBook 4:01 4:02 Probability and language Two-step chance experiments Content dot points • calculate probabilities of events where a condition is given that restricts the sample space, eg given that a number less than 5 has been rolled on a fair six-sided die, calculate the probability that this number was a 3 > describe the effect of a given condition on the sample space, eg in the above example, the sample space is reduced to {1,2,3,4} (Communicating, Problem Solving, Reasoning) • evaluate the likelihood of winning a prize in lotteries and other competitions (Problem Solving, Reasoning) Register Technology Drag-and-drop Maths terms 4 Theoretical probability Interactive lesson Mutually exclusive events • sample, with and without replacement, in two-step chance experiments, eg draw two counters from a bag containing three blue, four red and one white counter > compare results between an experiment undertaken with replacement and then without replacement (Reasoning) • record outcomes of two-step chance experiments, with and without replacement, using organised lists, tables and tree diagrams • calculate probabilities of simple and compound events in two-step chance experiments, with and without replacement > explain the effect of knowing the result of the first step on the probability of events in two-step chance experiments, with and without replacement (Communicating, Reasoning) Australian Signpost Mathematics New South Wales 10 Stages 5.1–5.2 Teaching Program — Chapter 4 Copyright © Pearson Australia 2014 (a division of Pearson Australia Group Pty Ltd) ISBN 978 1 4860 0054 8 Resources and suggestions Review the language of probability as seen on p. 75. Foundation worksheet 4:01Probability review Investigation 4:01 – Probabilities given as odds (p. 80). This investigation can be used to discuss the deceptive uses of probability in gambling. Discuss the difference between an event involving replacement and an event without replacement. Apply relative frequency to predict future experimental outcomes. Design a device to produce a desired relative frequency eg a four-coloured circular spinner. Investigation 4:02 – Experimental probability without replacement (p. 84) 3 4:03 4:04 4:05 Three-step chance experiments The probability of two- and three-step events The multiplication rule for multi-step events • sample, with and without replacement, in three-step chance experiments, eg draw three counters from a bag containing three blue, four red and one white counter • record outcomes of three-step chance experiments, with and without replacement, using organised lists, tables and tree diagrams Encourage students to use a variety of ways to display the possible outcomes for an event: tree diagrams, lists, tables etc. • calculate probabilities of simple and compound events in three-step chance experiments, with and without replacement > use knowledge of complementary events to assist in calculating probabilities of events in multi-step chance experiments (Problem Solving) Allow students to discover the quicker method of finding the number of outcomes by using the multiplying technique. • distinguish informally between dependent and independent events > explain the difference between dependent and independent events using appropriate examples (Communicating, Reasoning) • recognise that for independent events P(A and B) = P(A) x P(B) Have students repeat an experiment a number of times to determine the relative frequency of an event, recognising that estimates become more stable as the number of trials increases. Investigation 4:04 – What is the chance of a boy and a girl? (p. 94) Interactive lessons Independent events (1) Independent events (2) Distinguish between independent events and dependent events. (p. 95) Fun spot 4:05 – The Monty Hall problem (p. 100) Video Combined probability – independent Australian Signpost Mathematics New South Wales 10 Stages 5.1–5.2 Teaching Program — Chapter 4 Copyright © Pearson Australia 2014 (a division of Pearson Australia Group Pty Ltd) ISBN 978 1 4860 0054 8 4 4:06 The multiplication rule for dependent events • critically evaluate conditional statements used in descriptions of chance situations > describe the validity of conditional statements used in descriptions of chance situations with reference to dependent and independent events, eg explain why if you toss a coin and obtain a head, then the probability of obtaining a head on the next toss remains the same (Communicating, Reasoning) > identify and explain common misconceptions related to chance experiments, eg explain why the statement 'If you obtain a tail on each of four consecutive tosses of a coin, then there is a greater chance of obtaining a head on the next toss' is incorrect (Reasoning) Review Highlight the difference between independent and dependent events when drawing tree diagrams Make use of Maths terms 4. (p. 108) Diagnostic test 4 – Use the right-hand column to assist if further review is required. (p. 109) Assignment 4A – Exam-style questions for revision (p. 111) Assignment 4B – Working mathematically problems (p. 112) Assignment 4C – Use this cumulative revision to review previous topics. (p. 113) Australian Signpost Mathematics New South Wales 10 Stages 5.1–5.2 Teaching Program — Chapter 4 Copyright © Pearson Australia 2014 (a division of Pearson Australia Group Pty Ltd) ISBN 978 1 4860 0054 8 5