Sigma Mathematics (NCEA Edition)

Chapter outline


AS 3.1 Time series

1              Features of time series
2              Time series analysis

AS 3.2 Confidence intervals

3              Distribution of the Total and the Sample Mean
4              Confidence intervals for means
5              Confidence intervals for proportions

AS 3.3 Probability

6              Basic probability
7              Expected value
8              Arrangements and selections
9              Conditional probability

AS 3.4 Solving equations

10           Simultaneous linear equations
11           Numerical methods of solving equations
12           Linear programming

AS 3.5 Investigations using bi-variate data

13           Scatter diagrams and the correlation coefficient
14           Regression

AS 3.6 Probability distributions

15           Binomial distribution
16           Poisson distribution
17           Normal distribution
18           Combinations of random variables

AS 3.7 Curve-fitting and modelling

19           Power curves, exponential curves and logarithms
20           Modelling and Curve fitting



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