statisticsandprobability path adv

📖 Prior Knowledge

ContentPrior knowledgeUsed for
Probability A- independent and dependent events- conditional probability

Solve problems involving Venn diagrams and 2-way tables.pdf

  • Represent and interpret data in Venn diagrams for mutually exclusive and non-mutually exclusive events
  • Construct Venn diagrams to represent all possible combinations of 2 attributes from given or collected data
  • Interpret data in 2-way tables to represent relationships between attributes
  • Construct 2-way tables to represent the relationships between attributes
  • Convert between representations of the relationships between 2 attributes in Venn diagrams and 2-way tables
  • Define a set as a collection of distinct objects
  • Use Venn diagrams, set language and notation for events, including  (or  or ) for the complement of an event ,  for ’ and ’ (the intersection of events  and ) and  for ’ or ’ (the union of events  and ) and recognise mutually exclusive events

Use the language, ‘if 
 then’, ‘given’, ‘of’ and ‘knowing that’, to examine conditional statements and identify common mistakes in interpreting the language.pdf

  • Calculate the probabilities of events where a condition restricts the sample space
  • Describe the effect of a given condition on the sample space
  • Identify conditional statements used in descriptions of chance situations
  • Explain the validity of conditional statements when describing chance situations, referring to dependent and independent events
  • Identify and explain common misconceptions relating to chance experiments
  • Explain the difference between mutually exclusive and non-mutually exclusive events
  • Describe compound events using the terms inclusive or and exclusive or
  • Describe non-mutually exclusive events using the terminology and, inclusive or and exclusive or
  • Describe events using the terms at least, at most, not and and
  • Calculate the probability of compound events using strategies including Venn diagrams and 2-way tables