Mathematics / Year 8 / Statistics and Probability / Chance

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Curriculum content descriptions

Represent events in two-way tables and Venn diagrams and solve related problems (ACMSP292)

Elaborations
  • using Venn diagrams and two-way tables to calculate probabilities for events, satisfying 'and', 'or' and 'not' conditions
  • understanding that representing data in Venn diagrams or two-way tables facilitates the calculation of probabilities
  • collecting data to answer the questions using Venn diagrams or two-way tables
General capabilities
  • Literacy Literacy
  • Numeracy Numeracy
  • Critical and creative thinking Critical and creative thinking
ScOT terms

Venn diagrams,  Two-way tables

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3 direct matches to ACMSP292 | 1 other related resources

Online

TIMES Module 13: Statistics and Probability: chance, year 8 - teacher guide

  • TLF-IDM009047

This is a 15-page guide for teachers. It continues the development of probability. A careful consideration of outcomes and equally likely outcomes is undertaken. In year 8, students see that these are a special case of finding probabilities of events by summing probabilities of the disjoint (or mutually exclusive) outcomes ...

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Online

TIMES Module 1: Number and Algebra: sets and Venn diagrams - teacher guide

  • TLF-IDM009167

This is a 22-page guide for teachers. The module provides an introduction to set notation and demonstrates its use in logic, probability and functions.

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Online

Probability calculations: Year 8 – planning tool

  • TLF-IDA003223

This planning resource for Year 8 is for the topic of Probability calculations. Students are introduced to more complex probability concepts, terminology and visual representations for all combinations of two events. Students learn the language and differences between the connectors: ‘and’, ‘or’(inclusive or exclusive), ...

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Online

Finding the shortest path

  • TLF-IDA003424

In this lesson, students will experiment with different ways of creating a path between two points with algorithm design and generalizing patterns. From the patterns, they will be able to generate an algorithm for efficiently traveling through cities in a region.

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