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Free Grade 3 Rules and Methods in Introducing Conditional Probability Common Errors: Visual Models Lesson Plans

Free Grade 3 lesson plans for Rules and Methods in Introducing Conditional Probability Common Errors: Visual Models: 12 real questions with a full answer key and worked solutions. Probability measures how likely something is, from 0 (impossible) to 1 (certain). P(event) = favourable outcomes ÷ total outcomes. For independent events, multiply.

Price

Free

Difficulty

Higher

Estimated time

30 min

Total marks

24

Learning objectives

Every objective is checkable, and each one maps to an activity and an assessment.

  • RememberIdentify rules and methods in introducing conditional probability common errors: visual models

    Identify rules and methods in introducing conditional probability common errors: visual models accurately in a familiar context.

    Assessed by: Exit ticket of four short items

  • UnderstandExplain rules and methods in introducing conditional probability common errors: visual models

    Explain rules and methods in introducing conditional probability common errors: visual models accurately in a familiar context.

    Assessed by: Exit ticket of four short items

  • ApplyCalculate rules and methods in introducing conditional probability common errors: visual models

    Calculate rules and methods in introducing conditional probability common errors: visual models accurately in a familiar context.

    Assessed by: Exit ticket of four short items

  • AnalyseCompare rules and methods in introducing conditional probability common errors: visual models

    Compare rules and methods in introducing conditional probability common errors: visual models accurately in a familiar context.

    Assessed by: Exit ticket of four short items

Prerequisites

Close these gaps first — each has its own free lesson, worksheet and quiz.

How Rules and Methods in Introducing Conditional Probability Common Errors: Visual Models works

Probability measures how likely something is, from 0 (impossible) to 1 (certain). P(event) = favourable outcomes ÷ total outcomes. For independent events, multiply.

Key wordsprobabilityoutcomeeventindependentcertainimpossible

12 practice questions

Easy to hard, 24 marks in total. Try them first, then open the answers.

  1. 1.A bag has 7 red, 4 blue and 3 green counters. One is picked at random. Find P(red).[1]
  2. 2.A bag has 5 red, 4 blue and 2 green counters. One is picked at random. Find P(red).[1]
  3. 3.A bag has 1 red, 8 blue and 2 green counters. One is picked at random. Find P(red).[1]
  4. 4.A bag has 4 red, 3 blue and 0 green counters. One is picked at random. Find P(red).[1]
  5. 5.A bag has 3 red, 7 blue and 4 green counters. One is picked at random. Find P(red) and P(not red).[2]
  6. 6.A bag has 1 red, 7 blue and 1 green counters. One is picked at random. Find P(red) and P(not red).[2]
  7. 7.A bag has 6 red, 7 blue and 1 green counters. One is picked at random. Find P(red) and P(not red).[2]
  8. 8.A bag has 7 red, 4 blue and 2 green counters. One is picked at random. Find P(red) and P(not red).[2]
  9. 9.A bag has 8 red and 7 blue counters. Two are picked with replacement. Find P(both red).[3]
  10. 10.A bag has 7 red and 3 blue counters. Two are picked with replacement. Find P(both red).[3]
  11. 11.A bag has 5 red and 7 blue counters. Two are picked with replacement. Find P(both red).[3]
  12. 12.A bag has 8 red and 5 blue counters. Two are picked with replacement. Find P(both red).[3]
Show answers and working
  1. 1. P(red) = 1/2

    Total counters = 14. P(red) = 7/14 = 1/2.

  2. 2. P(red) = 5/11

    Total counters = 11. P(red) = 5/11 = 5/11.

  3. 3. P(red) = 1/11

    Total counters = 11. P(red) = 1/11 = 1/11.

  4. 4. P(red) = 4/7

    Total counters = 7. P(red) = 4/7 = 4/7.

  5. 5. P(red) = 3/14, P(not red) = 11/14

    Total counters = 14. P(red) = 3/14 = 3/14. P(not red) = 1 − 3/14 = 11/14.

  6. 6. P(red) = 1/9, P(not red) = 8/9

    Total counters = 9. P(red) = 1/9 = 1/9. P(not red) = 1 − 1/9 = 8/9.

  7. 7. P(red) = 3/7, P(not red) = 4/7

    Total counters = 14. P(red) = 6/14 = 3/7. P(not red) = 1 − 3/7 = 4/7.

  8. 8. P(red) = 7/13, P(not red) = 6/13

    Total counters = 13. P(red) = 7/13 = 7/13. P(not red) = 1 − 7/13 = 6/13.

  9. 9. 64/225

    P(red) = 8/15 each time. Independent, so multiply: 8/15 × 8/15 = 64/225.

  10. 10. 49/100

    P(red) = 7/10 each time. Independent, so multiply: 7/10 × 7/10 = 49/100.

  11. 11. 25/144

    P(red) = 5/12 each time. Independent, so multiply: 5/12 × 5/12 = 25/144.

  12. 12. 64/169

    P(red) = 8/13 each time. Independent, so multiply: 8/13 × 8/13 = 64/169.

Worked examples

Easy example

A bag has 4 red, 4 blue and 3 green counters. One is picked at random. Find P(red).

  1. Total counters = 11.
  2. P(red) = 4/11 = 4/11.
  3. Answer: P(red) = 4/11
Medium example

A bag has 4 red, 3 blue and 0 green counters. One is picked at random. Find P(red) and P(not red).

  1. Total counters = 7.
  2. P(red) = 4/7 = 4/7.
  3. P(not red) = 1 − 4/7 = 3/7.
  4. Answer: P(red) = 4/7, P(not red) = 3/7
Hard example

A bag has 2 red and 5 blue counters. Two are picked with replacement. Find P(both red).

  1. P(red) = 2/7 each time.
  2. Independent, so multiply: 2/7 × 2/7 = 4/49.
  3. Answer: 4/49

Interactive practice

Free, no account required — answer on screen or print it.

Common mistakes

What learners typically get wrong, and how to fix it.

  • Writes probability as a ratio like 3:5.

    Correction: Use a fraction, decimal or percentage.

  • Adds probabilities for 'and' events.

    Correction: 'And' means multiply when events are independent.

Teacher tips

  • · Run real experiments with dice and compare to theory.

Parent tips

  • · Talk about the chance of rain from the forecast.

Real-life applications

  • · Weather forecasts, games, insurance.

Assessment objectives

How mastery is evidenced, and which standards it maps to.

COMMON-CORE COM-913.1 — Mapped statement covering Rules and Methods in Introducing Conditional Probability Common Errors: Visual Models.OCR OCR-710.2 — Mapped statement covering Rules and Methods in Introducing Conditional Probability Common Errors: Visual Models.

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Move on to Rules and Methods in Introducing Conditional Probability Common Errors: Common Mistakes, Rules and Methods in Introducing Conditional Probability Common Errors: Real-life Applications, Introduction to Introducing Conditional Probability Common Errors, Key Vocabulary of Introducing Conditional Probability Common Errors, which build directly on this idea.

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