Drill one skill at a time

Addition, subtraction, multiplication and division with whole numbers and decimals.

Working with fractions, decimals and percentages: including equivalent forms.

Percentages of values, percentage change, increases and decreases.

Multi-step problems involving money: totals, change, budgets, and discounts.

Splitting a total by ratio, scaling recipes, and proportional reasoning.

Speed, fuel consumption, unit pricing, and other rate-based calculations.

Simple interest, GST, income tax, and account balances over time.

Number patterns, algebraic rules, and solving for unknowns.

Complex operations with rational numbers, including roots and powers.

Scientific notation (e.g. 3.6 × 10³), square roots and powers: common in workplace formulae and unit conversions.

Solving algebraic equations using algebraic manipulation and graphical techniques.

Durations, 12-hour and 24-hour time, and time conversions.

Area of rectangles, triangles, and composite shapes; perimeter calculations.

Volumes of prisms and cylinders, capacity conversions, multi-step volume problems.

Scale drawings, scale factors, and reading scaled maps and plans.

Compass directions (N/S/E/W and NW/NE/SE/SW), coordinates, and grid references.

Calculating speed, distance, or time when two of the three are known.

Finding sides of right-angled triangles using a² + b² = c².

Angles in triangles, parallel lines, and regular polygons.

Angle properties, symmetry and similarity in 2D and 3D shapes: including compound shapes.

Converting within the metric system (mm to m, mL to L) and to or from non-metric units.

Interpreting tables, spreadsheets, and simple charts.

Multi-variable tables, percentile and percentage analysis on real-world datasets.

Interpreting bar charts (stacked, grouped) and line graphs to compare distributions.

Reading pie charts and calculating proportions from percentages.

Measures of central tendency and spread.

Probability of single events with fractions and decimals.

Probability of events not occurring, and combining probabilities.

Identifying misleading statistics and assessing the strength of claims from data.

Probability of multiple events using tree diagrams: compound chance scenarios.

Box plots, percentiles, grouped data, and measures of spread (range, IQR).

Sampling validity, bias detection, and assessing data reliability.