AS Statistics

Statistical Sampling:

• use samples to make inferences about a populations, advantages and disadvantages of a sample/census; random, stratified, systematic, quota & opportunity sampling; understand, select and critique sampling methods

 Data Representation and Interpretation:

• histograms, frequency polygons, cumulative frequency diagrams, box plots & outliers
• scatter diagrams and correlation
• measures of central tendency, measures of variation
• linear interpolation & coding

 Probability: 

• mutual exclusivity & independence
• tree diagrams 
• Venn diagrams

 Statistical Distributions: 

• discrete probability distributions including uniform and binomial

 Hypothesis Testing: 

• understand and use the terms null & alternate hypotheses, significance level, 1 & 2 tail testing, critical values & regions, p-values, etc.
• conduct and interpret hypothesis tests for the proportion in a binomial distribution

A2 Statistics

Statistical Sampling:

• (not covered in A2 Maths)

 Data Representation and Interpretation:

• (not covered in A2 Maths)

 Probability: 

• conditional probability

 Statistical Distributions: 

• the normal distribution

 Hypothesis Testing: 

• more hypothesis testing