VC2M4P02 Official strand: Probability

Repeating chance experiments

Practise online with Next and Previous buttons, worked explanations and a report of the questions to review.

Log in to continue

Record every result and compare what happened across sets of trials.

One-question preview

Choose one answer

Try this sample, or continue to the online quiz for a practice set with Next and Previous buttons.

A class plans 12 trials and has completed 3. How many more trials are needed?

Record every result, including repeated outcomes.

Answer choices

This preview contains one question. Continue to a practice set for more questions.

Log in to continue
Show worked steps

Answer: 9

  1. Complete the planned number of trials using the same rules.
  2. 12 − 3 = 9.
  3. Answer: 9.

This is a question from this topic’s quiz. Preview answers are not saved.

Scratchpad

Working out

Your thinking space

Draw with a finger, pen or mouse, or type your working below.

Use the typed working field below as an alternative to drawing.

Your working stays on this page. It is not submitted or saved, and clears when you leave or reload.

Curriculum reference

Victorian Curriculum F–10 Version 2.0

VC2M4P02

conduct repeated chance experiments to observe relationships between outcomes in games and other chance situations, and identify and describe the variation in results

These quizzes practise concepts within this topic. Multiple-choice answers alone do not demonstrate drawing, conducting an investigation or using a digital tool.

Activities to practise beyond the quiz

  • The learner analyses supplied trial records and a completion plan; no chance experiment is actually conducted.
  1. VC2M4P02-C01Conduct repeated chance experiments.
  2. VC2M4P02-C02Observe relationships between outcomes in games.
  3. VC2M4P02-C03Observe relationships between outcomes in other chance situations.
  4. VC2M4P02-C04Identify variation in repeated-experiment results.
  5. VC2M4P02-C05Describe variation in repeated-experiment results.

Learn with worked examples

Help with this topic

Open complete study note
Skills in this topic

Traceable coverage

Subskills

These subskills are derived directly from the official descriptor because the supplied alignment document contains no mapped rows for this code.

Descriptor-derived subskills

  1. D01
    Conducting repeated chance trialsDirectly derived from the repeated chance-experiment requirement.
  2. D02
    Recording outcomesDerived process subskill needed to observe relationships and variation across trials.
  3. D03
    Comparing results from different trialsDerived from observing relationships between outcomes across repeated experiments.
  4. D04
    Observing variationDirectly derived from identifying variation in results.
  5. D05
    Explaining why results can differDerived from describing the variation observed in repeated results.
  6. D06
    Comparing small and larger numbers of trialsDerived from reasoning about variation in repeated chance experiments.
  7. D07
    Evaluating simple gamesDerived from the descriptor's explicit games context.
  8. D08
    Interpreting experimental resultsDerived from observing relationships between experimental outcomes.
  9. D09
    Avoiding certainty claims from a small sampleDerived process subskill for interpreting variation without overgeneralising.
  10. D10
    Communicating observations using age-appropriate chance languageDerived from describing variation and outcome relationships.
A calm next step

Find the right place to begin

Try a free topic quiz, or use the short maths check-up to identify useful practice areas.