PROBABILITY (PART 1) - Unit 1 & Unit 2 - Vocabulary, Chance and Equally Likely Outcomes

Sep 28, 2026

Probability (Part 1) lesson materials for the Première level. It covers probability vocabulary, equally likely outcomes and the use of tree diagrams and conditional probability. The document proposes a two-session learning sequence with pre-requisites to study vocabulary at home and classroom work using slides and a tree-diagram unit. Activities include classifying events as certain/likely/unlikely/impossible, card and dice probability questions, coin-flipping probability, and tasks requiring answers in full sentences.

LanguageEnglish

CategoryExam

FormatPDF

Pages9

Reading Time23 min

AccessFree to download

Unit 1: Vocabulary

Chance and Events

Probability (0 to 1)

Unit 2: Equally likely outcomes

Counting favorable and possible outcomes

Tasks with dice

PROBABILITY (PART 1 ) | Niveau(x) concerné(s): | Première | | --- | --- | | Notions abordées : | Vocabulaire de probabilité, équiprobabilité et arbres | | Nombre de séances : | séances : | | Séquencepréparée par :
Sources | Jean-Philippe Perret et Marina Digeon
-Nrich , TES,
-[http://www. mathgoodies.com/lessons/vol6/conditional.html](http://www. mathgoodies.com/lessons/vol6/conditional.html) | | | | Descriptif des séances : document pré-requis : Vocabulaire à étudier à la maison en vue deprendre la parole lors d'une débat : intro BD Séance 1: diaporama "Probability lesson Marina.ppt" – "unit 1 – vocabulary" – "unit 2 – equally likely outcomes.odt"A partir de cette séance : en début d'heure " standard route 1 " DM Probability and statistics Project Séance 2 : Tree diagram + conditional probability – Standard route 1 (diaporama) – document : "unit 3 – tree diagram.doc" GroupeDNL Maths anglais IREM de Lyon année 2019-2020 Pascale Bonnaud, Julien Buil, Marina Digeon, Cécile Durand, Mélanie Estevez, Jennifer Malaval, Julien Mougeot, Jean-Philippe Perret, Julien BUIL, Page 1 GroupeDNL Maths anglais IREM de Lyon année 2019-2020 Pascale Bonnaud, Julien Buil, Marina Digeon, Cécile Durand, Mélanie Estevez, Jennifer Malaval, Julien Mougeot, Jean-Philippe Perret, Julien BUIL, Page 2 Have 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. • You buy a lottery ticket and win the jackpot. • You toss a coin and get heads. • Christmas will fall on 25 December this year. • You grow another nose. • It will rain in the first week of December. GroupeDNL Maths anglais IREM de Lyon année 2019-2020 Pascale Bonnaud, Julien Buil, Marina Digeon, Cécile Durand, Mélanie Estevez, Jennifer Malaval, Julien Mougeot, Jean-Philippe Perret, Julien BUIL, Page 3 Basic vocabulary 1 : Playing cards : A complete set of cards is called a pack or deck • 52 cards in total (+ 2 jokers that are removed) or 32 cards (no 2's,3's,4's, 5's or 6's) • Suits: • Cards in each suit : • Picture Cards : • Ace High or Low : Task 1 : Answer these questions, using full sentences For example: How many cards in a pack? There are 52 cards in a pack 1) How many red cards in a pack? 2) How many 2’s in a pack? 3) How many picture cards in a suit? 4) How many picture cards in the pack? 5) How many 1’s in a pack? 6) How many Queens of Hearts in a pack? 7) How many cards with numbers on them in a pack? Task 2 : Selecting a single card from a full pack of playing cards (no jokers), what is: p(5 of spades) = GroupeDNL Maths anglais IREM de Lyon année 2019-2020 Pascale Bonnaud, Julien Buil, Marina Digeon, Cécile Durand, Mélanie Estevez, Jennifer Malaval, Julien Mougeot, Jean-Philippe Perret, Julien BUIL, Page 4 p(jack) = p(heart) = p(picture card) = Create your own question 2: Tossing a coin : Coin flipping or coin tossing is the practice of throwing a coin in the air to choose between two possible outcomes when a coin is tossed, there are 2 possible outcomes : GroupeDNL Maths anglais IREM de Lyon année 2019-2020 Pascale Bonnaud, Julien Buil, Marina Digeon, Cécile Durand, Mélanie Estevez, Jennifer Malaval, Julien Mougeot, Jean-Philippe Perret, Julien BUIL, Page 5 Unit 1 : vocabulary CHANCE Things that happen are called events. There are many events that you can be sure about : – You are certain that the sun will set today. – It is impossible for you to grow to be 10 feet tall. There are also many events that you cannot be sure about. – You cannot be sure that you will get a letter tomorrow. – You cannot be sure that it will be sunny next friday. You 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

FAQs

What are the key probability vocabulary topics in this lesson?

The lesson focuses on probability vocabulary, chance/events, equally likely outcomes, and the use of trees for probability, including conditional probability.

How do you find the probability when all outcomes are equally likely?

List all possible outcomes, identify favorable outcomes for the event, count favorable and possible outcomes, then compute probability as favorable divided by possible.

How are event certainty levels used in the document exercises?

Learners classify statements as certain, likely, very likely, neither likely nor unlikely, unlikely, very unlikely, or impossible.

Sep 28, 2026

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