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Methods Mike
8.7 Leslie matrices
8.7 Transition matrices and Leslie matrices
8.6 Dominance and communication matrices
8.5 The inverse of a matrix and its determinant
8.4 Multiplying matrices
8.3 Addition, subtraction and scalar operations with matrices
8.2 Matrix representation
5.5 Modelling unit cost depreciation with a recurrence relation
5.4 Modelling reducing balance depreciation with a recurrence relation
5.3 Modelling flat rate depreciation with a recurrence relation
5.2 A first-order linear recurrence relation
3.3 3.3 Interpretation, interpolation and extrapolation
3.2 Least squares line of best fit
2.8 Calculating r and the coefficient of determination, r2
2.7 Estimating and interpreting Pearson’s product–moment correlation coefficient
2.6 Scatterplots
2.5 Parallel boxplots and dot plots
2.4 Back-to-back stem plots
2.3 Contingency (two-way) frequency tables and segmented bar charts
2.2 Response and explanatory variables
3J Solving simultaneous linear and quadratic equations
3I The discriminant
3H The general quadratic formula
3G Solving quadratic inequalities
3F Graphing quadratics in polynomial form
3E Completing the square and turning points
1I The 68–95–99.7% rule and z-scores
1H Standard deviation of a sample
1G The mean of a sample
1F Outliers