
Maths • 95 • 25 students • Created with AI following Aligned with New Zealand Curriculum
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This is lesson 9 of 12 in the unit "Probability: From Chance to Models". Lesson Title: AND with Independent Events Lesson Description: WALT: calculate the probability of two independent events occurring using P(A and B) = P(A) × P(B). Combine dice and coin outcomes and interpret repeated trials. Success criteria: I can identify independent events, multiply their probabilities, and represent combinations using tables or outcome lists. Differentiation: two-stage experiment equipment, product grids, colour coding, and gradual release from concrete to symbolic methods; provide audio-supported instructions. Extension: compare multiplication with addition and create a fair game involving two independent events.
Lesson 9 of 12 in Probability: From Chance to Models. Students build on single-event probability and sample spaces by investigating two-stage experiments, identifying independence, and using multiplication to calculate “A and B” probabilities. They move from concrete dice-and-coin trials to tables, outcome lists and symbolic notation, then evaluate whether repeated results support their model.
0–8 min · Hook and retrieval. Open with the hook and retrieval slides showing the question, “Is getting a six and then heads twice as unlikely as getting a six or heads?” Students complete three quick retrieval questions independently: probability of a six, probability of heads, and the meaning of “and”; they then share answers and predictions.
8–23 min · Concrete investigation. Give each pair one die and one coin, and display the experiment instructions. Students conduct 30 trials of “roll a six and toss heads”, recording successes in a simple frequency table; pause to ask whether the coin probability changes after the die result is known. Emphasise that the die and coin do not affect each other, so the events are independent.
23–38 min · Model the representation. Model a product grid using the board and the worked example slides: list die outcomes across one side and coin outcomes down the other, then identify the single successful combination (6, heads). Students create a second grid for “roll an even number and toss tails”, shade successful cells, and calculate (P(\text{even and tails})=\frac{3}{6}\times\frac{1}{2}=\frac{1}{4}). Check that students can distinguish “and” from “or”.
38–58 min · Guided-to-independent practice. Distribute the independent events practice worksheet and complete the first question together. Students then solve progressively less scaffolded questions involving dice, coins and two-stage outcome lists, explaining each multiplication. Circulate for a targeted check: ask, “What is event A? What is event B? Does either event change the other probability?” Students who need support use colour coding and the product grid before moving to notation.
58–73 min · Repeated trials and variation. Students pool pair results from the first experiment, calculate the experimental proportion of successes, and compare it with the theoretical value (\frac{1}{12}). Use the variation discussion slides to prompt: “Why might our answer not be exactly (\frac{1}{12})?” Students write one statement about random variation and one limitation of using only 30 trials.
73–88 min · Challenge: design a fair game. In pairs, students design a simple game using two independent events, such as a coin and die. They must state the winning condition, show the outcome list or grid, calculate the winning probability, and decide whether the game is fair for a player winning a one-point prize. Students use the challenge section of the game design task and give a one-minute explanation to another pair.
88–95 min · Plenary and exit check. Return to the summary and exit prompt. Students complete an exit response: “A fair coin is tossed and a die is rolled. Find (P(\text{tails and a number greater than 4})), show a representation, and explain why multiplication is appropriate.” Take responses at the door and address common errors in the next lesson.
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