Knowledge overview and teaching sequence for Phase 2 (Years 4-6) of the Mathematics and Statistics Learning Area. From 1 January 2026 this content is part of the statement of official policy relating to teaching, learning, and assessment of Mathematics and Statistics in all English medium state and state-integrated schools in New Zealand.
Number
KnowledgeThe facts, concepts, principles, and theories to teach | PracticesThe skills, strategies, and applications to teach | |||||
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During Year 4 | During Year 5 | During Year 6 | During Year 4 | During Year 5 | During Year 6 | |
Number structures |
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Operations |
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Rational numbers |
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Financial mathematics |
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Algebra
KnowledgeThe facts, concepts, principles, and theories to teach | PracticesThe skills, strategies, and applications to teach | |||||
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During Year 4 | During Year 5 | During Year 6 | During Year 4 | During Year 5 | During Year 6 | |
Equations and relationships |
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Measurement
KnowledgeThe facts, concepts, principles, and theories to teach | PracticesThe skills, strategies, and applications to teach | |||||
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During Year 4 | During Year 5 | During Year 6 | During Year 4 | During Year 5 | During Year 6 | |
Measuring |
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Geometry
KnowledgeThe facts, concepts, principles, and theories to teach | PracticesThe skills, strategies, and applications to teach | |||||
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During Year 4 | During Year 5 | During Year 6 | During Year 4 | During Year 5 | During Year 6 | |
Shapes |
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Spatial reasoning |
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Pathways |
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Statistics
KnowledgeThe facts, concepts, principles, and theories to teach | PracticesThe skills, strategies, and applications to teach | |||||
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During Year 4 | During Year 5 | During Year 6 | During Year 4 | During Year 5 | During Year 6 | |
Developing knowledge from data |
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Visualisation of data |
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Interpretation of data |
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Probability
KnowledgeThe facts, concepts, principles, and theories to teach | PracticesThe skills, strategies, and applications to teach | |||||
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During Year 4 | During Year 5 | During Year 6 | During Year 4 | During Year 5 | During Year 6 | |
Experimental probability |
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The language of Mathematics and Statistics for Years 4–6
Year 4Students will be taught the following new words: | Year 5Students will be taught the following new words: | Year 6Students will be taught the following new words: | |
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Number |
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Algebra |
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Measurement |
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Geometry |
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Statistics |
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Probability |
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Word or phrase |
Description |
Abstraction |
The process of identifying and extracting the fundamental structures, patterns, or properties of a mathematical or statistical concept, detaching it from its original context to create a more general idea. |
Additive identity |
Zero will not change the value when added to a number. For example, 16 + 0 = 16. |
Algebraic expression |
A single mathematical expression that can be a number or a variable that may or may not have exponents, or combinations of these that is written as products or quotients. Examples include 8, x2, 8x2, 8—x2, or 32a7m—bc4. |
Algorithm |
A set of step-by-step instructions to perform a computation. |
Arithmetically (growing pattern) |
A description of a pattern that grows when each term increases or decreases by adding or subtracting a constant value. |
Associative property |
A property of operation where three or more numbers can be added or multiplied in any grouping without changing the result. For example, (4 + 3) + 7 = 4 + (3 + 7) because 7 + 7 = 4 + 10, and (4 × 3) × 5 = 4 × (3 × 5). |
Attribute |
A geometric characteristic or feature of an object or common feature of a group of objects — such as size, shape, colour, number of sides. |
Base ten |
Our number value system with ten digit symbols (0-9); the place value of a digit in a number depends on its position; as we move to the left, each column is worth ten times more, with zero used as a placeholder; to the right, the system continues past the ones’ column, to create decimals (tenths, hundredths, thousandths); the decimal point marks the column immediately to the right as the tenths column. |
Benchmarks |
A reference point that we can use for comparison or estimation. For example, “My finger is about one centimetre wide.” |
Bivariate data |
Bivariate data is data in a set that has two variables for each subject. |
Categorical variables |
A variable that classifies objects or individuals into groups or categories. For example, hair colour, breed of dog. |
Chance |
The likelihood that an outcome will occur. |
Claim |
A statement of interpretation drawn from mathematical or statistical data. |
Coefficient |
In an algebraic term, the coefficient is the number that multiplies the variable. For example, in the term 3y, 3 is the coefficient. |
Commutative property |
A property of operations where numbers can be added or multiplied in any order without changing the result. For example, 5 + 6 = 6 + 5 or 7 × 8 = 8 × 7. |
Compose, decompose, recompose |
Compose is to make a shape using other shapes. Decompose is to break a shape into other shapes. Recompose is to form the broken pieces of a shape into its original shape. |
Conditional probabilities |
The possibility of an event or outcome happening, based on the existence of a previous event or outcome. |
Conjecture |
A mathematical or statistical statement whose truth or otherwise is yet to be determined through analysis or computation. |
Constant |
A fixed value or a specific unchanging number in an equation, function, or expression. |
Data |
A collection of facts, numbers, or information; the individual values of which are often the results of an experiment or observations. |
Data collection methods |
Questions asked to get the data; carefully posed to ensure that the data will help to answer the intended investigative question. |
Data visualisations |
A graphical, tabular, or pictorial representation of information or data. |
Discrete materials |
Separate objects that can be counted and grouped. For example, counters or ice block sticks. |
Discrete numerical variables |
Variables that can be counted and have a limited range of possibilities. For example, number of students in each team or the result of rolling a die. |
Distribution |
In mathematics, distribution describes spreading terms out equally across an expression; in statistics, distribution describes how data values are spread across the range of values collected. |
Element (in a repeating pattern) |
In a repeating pattern, an element is the repeating core. |
Equation |
A number statement that contains an equal sign. The expressions on either side of the equal sign have the same value (are equal). |
Equivalent fractions |
Fractions that represent the same value or number. For example, 1—2, 2—4, 3—6, and 4—8 are equivalent fractions because they represent the same number. |
Estimate |
A rough judgement of quantity, value, or number. In statistics, an assessment of the value of an existing, but unknown, quantity. In probability, an estimate is the probability that results from the outcome of an experiment |
Event |
One or more outcomes from a probability activity, situation, or experiment. |
Evidence |
Information, findings, data that support (prove) a statement or argument. |
Expression |
Two or more terms involving numbers and/or variables connected by operations. Expressions do not include an equal or inequality sign. |
Function |
The expression or equation which describes the relationship between two variables, where every x value has a unique y value. This can be written using mathematical notation or shown as a graph in the XY plane. |
Geometrically |
A description of a pattern that grows when each term increases or decreases by multiplying or dividing a constant value. |
Group of interest |
Who the data is collected from in a statistics investigation. |
Growing pattern |
A pattern where there is a constant increase or decrease between each term. For example, 5, 10, 15, 20. |
Inequality |
A mathematical statement in which one number or expression is greater or less than another. |
Inference |
Making a conclusion based on evidence and reasoning. |
Informal unit |
A non-standard unit used to measure. For example, blocks, pens, fingers. The informal units used should all be the same size. |
Inverse operations |
The opposite operation, so addition is inverse to subtraction, and multiplication is inverse to division. They are useful to check calculations. For example, to check 4 × 5 = 20, we can see if 20 ÷ 5 = 4. |
Investigative question |
A question that guides inquiry in an investigative study. |
Irrational number |
A real number that cannot be expressed as a ratio of two integers. Examples are π and √4. |
Justify |
Use previously accepted statements and mathematical reasoning, evidence, or proof to explain statements about a conjecture. |
Number sentence |
An equation or inequality expressed using numbers and mathematical symbols. For example, 10 + 10 = 3 + 7 + 5 + 5. |
Ordinal |
The numerical position of the element in the sequence. For example, first, second, third, and so on. |
Orientation |
The angle at which an object is positioned. |
Outcome |
A possible result of a trial of a probability activity or a situation involving an element of chance. |
Population |
Group of individuals, items, or data used for an investigative study. |
Primary data |
Data collected first-hand for a specific purpose. For example, a survey, experiment, or interview. (See also Secondary data). |
Probability experiment |
A test that can be carried out multiple times in the same way (trials). The outcome of each trial is recorded. |
Quantifying |
Expressing a quantity using numbers. |
Question |
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Rational number |
A real number that can be expressed as a ratio of two integers. This includes integers, decimals, and fractions. |
Rationalise |
The process of eliminating roots or imaginary numbers from the denominator of a fraction. |
Reasoning |
Analysing a situation and using mathematical and statistical methods to arrive at a finding or conclusion. |
Reciprocal |
The inverse of a number or function, also known as the multiplicative inverse, for example, the reciprocal of 3—x is x—3. |
Relative frequency |
The number of times an event occurs divided by the total number of possible outcomes. |
Repeating pattern |
A pattern containing a 'unit of repeat'. For example, red, green, blue, red, green, blue. |
Secondary data |
Data collected by someone else, or a process, and/or obtained from another source. For example, online, books, other researchers. (See also Primary data). |
Similarity |
This is used to describe figures that have the same features, but different sizes. For example, two triangles both having angles of 40°, 60° and 80° but different side lengths. |
Subitise |
Instantly recognise the number of items in an arrangement without counting. |
Tangible and intangible |
Tangible is an object that can be touched. For example, a group of blocks. Intangible is a quality or measurement that cannot be touched. For example, colour or length. |
Term (in a pattern) |
One of the numbers in a pattern or sequence. For example, for 2, 4, 6, 8, the second term is 4. |
Theoretical probability |
A calculation of how likely an event is to occur in a situation involving chance. |
Uncertainty |
In probability, when the chance of an event occurring is unknown. |
Unit of repeat |
The part of a repeating pattern that repeats. The part is made up of several elements. |
Variables (statistics and algebra) |
A property or quantity that can take on different values. In statistics, a variable represents characteristics that may vary among individuals or over time. In algebra, a variable typically represents an unknown value or a quantity that can change within a given context. |
Variation |
The differences seen in the values of a property for different individuals or at different times. |
Visualisation |
The process of creating a mental or visual representation of data, concepts, or ideas. It can involve mentally imagining or manipulating information or visually representing data. |
Links to mathematics and statistics supports and resources:
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