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Statistics
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
P
robability:
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)
P
robability:
conditional probability
Statistical Distributions:
the normal distribution
Hypothesis Testing:
more hypothesis testing