Year 361 Skills
Number and Algebra

3.NA.1.1

Number strategies • Use a range of additive and simple multiplicative strategies with whole numbers, fractions, decimals, and percentages.

3.NA.1.2

Number knowledge • Know basic multiplication and division facts. • Know counting sequences for whole numbers. • Know how many tenths, tens, hundreds, and thousands are in whole numbers. • Know fractions and percentages in everyday use.

3.NA.1.3

Equations and expressions • Record and interpret additive and simple multiplicative strategies, using words, diagrams, and symbols, with an understanding of equality

3.NA.1.4

Patterns and relationships • Generalise the properties of addition and subtraction with whole numbers. • Connect members of sequential patterns with their ordinal position and use tables, graphs, and diagrams to fi nd relationships between successive elements of number and spatial patterns.

Geometry & Measurement

3.GM.1.1

Measurement • Use linear scales and whole numbers of metric units for length, area, volume and capacity, weight (mass), angle, temperature, and time. • Find areas of rectangles and volumes of cuboids by applying multiplication.

3.GM.1.2

Shape • Classify plane shapes and prisms by their spatial features. • Represent objects with drawings and models.

3.GM.1.3

Position and orientation • Use a co-ordinate system or the language of direction and distance to specify locations and describe paths.

3.GM.1.4

Transformation • Describe the transformations (refl ection, rotation, translation, or enlargement) that have mapped one object onto another

Statistics

3.S.1.1

Statistical investigation • Conduct investigations using the statistical enquiry cycle: – gathering, sorting, and displaying multivariate category and wholenumber data and simple time-series data to answer questions; – identifying patterns and trends in context, within and between data sets; – communicating fi ndings, using data displays.

3.S.1.3

Probability • Investigate simple situations that involve elements of chance by comparing experimental results with expectations from models of all the outcomes, acknowledging that samples vary