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Probability - beginner

This lesson comprises two (2) master classes focusing on:

  • Describing probability
  • Theoretical probability in single-step experiments
  • Experimental probability in single-step experiments
  • Probabilities of compound events in single-step experiments
  • Venn diagrams and two-way tables

Content:

MA4-PRO-C-01


Determine probabilities for chance experiments

  • List the sample space for chance experiments
  • Express the probability of an event, which has a finite number of equally likely outcomes, as \( P(event)=\frac{number\ of\ favourable\ outcomes}{total\ number\ of\ outcomes} \)
  • Recognise that probabilities range from 0 (impossible) to 1 (certain) and that equally likely outcomes have equal probabilities
  • Verify that the total of the probabilities of all possible outcomes of an event is 1
  • Identify and describe theoretical (expected) probabilities as being the likelihood of outcomes occurring under fair or unbiased conditions
  • Explain that observed probability is the relative frequency resulting from repeated trials of a simulation and determine observed probabilities
  • Explore relative frequencies by using a random number generator to repeat a chance experiment a number of times

Determine probabilities for complementary events

  • Identify and describe the complement of an event
  • Verify that the sum of the probability of an event and its complement is a total of 1
  • Solve problems involving the probability of complementary events
  • Represent the possible outcomes for complementary events in various forms