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Activities include classifying events as certain/likely/unlikely/impossible, card and dice probability questions, coin-flipping probability, and tasks requiring answers in full 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are the key probability vocabulary topics in this lesson?","Question",{"text":113,"@type":114},"The lesson focuses on probability vocabulary, chance/events, equally likely outcomes, and the use of trees for probability, including conditional probability.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How do you find the probability when all outcomes are equally likely?",{"text":118,"@type":114},"List all possible outcomes, identify favorable outcomes for the event, count favorable and possible outcomes, then compute probability as favorable divided by possible.",{"name":120,"@type":111,"acceptedAnswer":121},"How are event certainty levels used in the document exercises?",{"text":122,"@type":114},"Learners classify statements as certain, likely, very likely, neither likely nor unlikely, unlikely, very unlikely, or 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arbres |\n| Nombre de séances : | séances : |\n| Séquencepréparée par :\u003Cbr>Sources | Jean-Philippe Perret et Marina Digeon\u003Cbr>-Nrich , TES,\u003Cbr>-[http://www. mathgoodies.com/lessons/vol6/conditional.html](http://www. mathgoodies.com/lessons/vol6/conditional.html) |\n|  |  |\n\nDescriptif des séances :  \ndocument pré-requis : Vocabulaire à étudier à la maison en vue deprendre la parole lors d'une  \ndébat : intro BD  \nSéance 1: diaporama \"Probability lesson Marina.ppt\"  \n– \"unit 1 – vocabulary\"  \n– \"unit 2 – equally likely outcomes.odt\"A partir de cette séance : en début d'heure \" standard route 1 \"  \nDM Probability and statistics Project  \nSéance 2 : Tree diagram + conditional probability  \n– Standard route 1 (diaporama)  \n– document : \"unit 3 – tree diagram.doc\"  \nGroupeDNL Maths anglais IREM de Lyon année 2019-2020  \nPascale Bonnaud, Julien Buil, Marina Digeon, Cécile Durand, Mélanie Estevez, Jennifer Malaval,  \nJulien Mougeot, Jean-Philippe Perret, Julien BUIL, Page 1  \nGroupeDNL Maths anglais IREM de Lyon année 2019-2020  \nPascale Bonnaud, Julien Buil, Marina Digeon, Cécile Durand, Mélanie Estevez, Jennifer Malaval,  \nJulien Mougeot, Jean-Philippe Perret, Julien BUIL, Page 2  \nHave a look at the statements below, and decide whether the following events are: certain, likely, very likely, evens (neither likely or unlikely), unlikely, very unlikely or impossible.  \n• You buy a lottery ticket and win the jackpot.  \n• You toss a coin and get heads.  \n• Christmas will fall on 25 December this year.  \n• You grow another nose.  \n• It will rain in the first week of December.  \nGroupeDNL Maths anglais IREM de Lyon année 2019-2020  \nPascale Bonnaud, Julien Buil, Marina Digeon, Cécile Durand, Mélanie Estevez, Jennifer Malaval,  \nJulien Mougeot, Jean-Philippe Perret, Julien BUIL, Page 3  \nBasic vocabulary  \n1 : Playing cards : A complete set of cards is called a pack or deck  \n• 52 cards in total (+ 2 jokers that are removed) or 32 cards (no 2's,3's,4's, 5's or 6's)  \n• Suits:  \n• Cards in each suit :  \n• Picture Cards :  \n• Ace High or Low :  \nTask 1 : Answer these questions, using full sentences  \nFor example: How many cards in a pack? There are 52 cards in a pack  \n1) How many red cards in a pack?  \n2) How many 2’s in a pack?  \n3) How many picture cards in a suit?  \n4) How many picture cards in the pack?  \n5) How many 1’s in a pack?  \n6) How many Queens of Hearts in a pack?  \n7) How many cards with numbers on them in a pack?  \nTask 2 : Selecting a single card from a full pack of playing cards (no jokers), what is: p(5 of spades) =  \nGroupeDNL Maths anglais IREM de Lyon année 2019-2020  \nPascale Bonnaud, Julien Buil, Marina Digeon, Cécile Durand, Mélanie Estevez, Jennifer Malaval,  \nJulien Mougeot, Jean-Philippe Perret, Julien BUIL, Page 4  \np(jack) =  \np(heart) =  \np(picture card) =  \nCreate your own question  \n2: Tossing a coin :  \nCoin flipping or coin tossing is the practice of throwing a coin in the air to choose between two possible outcomes  \nwhen a coin is tossed, there are 2 possible outcomes :  \nGroupeDNL Maths anglais IREM de Lyon année 2019-2020  \nPascale Bonnaud, Julien Buil, Marina Digeon, Cécile Durand, Mélanie Estevez, Jennifer Malaval,  \nJulien Mougeot, Jean-Philippe Perret, Julien BUIL, Page 5  \nUnit 1 : vocabulary  \nCHANCE  \nThings that happen are called events. There are many events that you can be sure about :  \n– You are certain that the sun will set today.  \n– It is impossible for you to grow to be 10 feet tall.  \nThere are also many events that you cannot be sure about.  \n– You cannot be sure that you will get a letter tomorrow.  \n– You cannot be sure that it will be sunny next friday.  \nYou sometimes talk about the chance that something will happen. If Paul is a good chess player, you may say, « Paul has good chance of winning the game » . If Paul is a poor player, you ma","cbCaimOo1CSY5dCH","https://ap.wps.com/l/cbCaimOo1CSY5dCH","pdf",1689721,"English","# Unit 1: Vocabulary\n## Chance and Events\n## Probability (0 to 1)\n# Unit 2: Equally likely outcomes\n## Counting favorable and possible outcomes\n## Tasks with dice","[{\"question\":\"What are the key probability vocabulary topics in this lesson?\",\"answer\":\"The lesson focuses on probability vocabulary, chance/events, equally likely outcomes, and the use of trees for probability, including conditional probability.\"},{\"question\":\"How do you find the probability when all outcomes are equally likely?\",\"answer\":\"List all possible outcomes, identify favorable outcomes for the event, count favorable and possible outcomes, then compute probability as favorable divided by possible.\"},{\"question\":\"How are event certainty levels used in the document exercises?\",\"answer\":\"Learners classify statements as certain, likely, very likely, neither likely nor unlikely, unlikely, very unlikely, or impossible.\"}]","PROBABILITY (PART 1) - Unit 1 & Unit 2 - Vocabulary, Chance and Equally Likely Outcomes | PDF",1790597485,23]