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Skills available for New Zealand year 10 maths curriculum

Objectives are in black and IXL maths skills are in dark green. Hold your mouse over the name of a skill to view a sample question. Click on the name of a skill to practise that skill.

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Number

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Statistics

  • Developing knowledge from data

    • Knowledge

      • It is not always possible to get data from the entire population (as in a census). To make inferences about a population without a census, sampling is used.

      • Samples must be taken randomly from the population, otherwise there will be bias in the data, leading to inaccurate and misleading statistics. Samples are ideally chosen using simple random sampling, in which each item of the population has an equal probability of being chosen.

      • When sampling from a population, the distribution for a variable varies from sample to sample. To make a reliable inference about what is happening in the population, sample sizes need to be:

        • about 1,000 for categorical variables (with the sample obtained using technology).

        • at least 30 for numerical variables.

    • Practices

  • Visualisation of data

    • Knowledge

      • A distribution is formed from all the possible values of a variable and their frequencies. It can be shown using data visualisations that show patterns, trends, and variations and that include dot plots, bar graphs, frequency tables, box plots, histograms, time-series graphs, scatter plots, and two-way tables.

      • A good data visualisation should allow viewers to discern the variable(s) and who the data was collected from, and then, depending on the type of visualisation, additional information such as frequency, proportions, patterns or trends, and units for numerical variables.

      • In relationship investigations:

    • Practices

  • Interpretation of data

    • Knowledge

      • Elements of chance affect the certainty of results from observational studies and experiments.

      • Uncertainty should be taken into account when making claims.

      • To compare data on the same variable from two groups in the same population, the 75%-to-50% comparison rule for informal inferences is used. If the groups are called A and B, and if more than 50% of group B's data is larger than 75% of group A's data, then we can make the claim that B tends to be larger than A back in the population.

      • An interpolation involves making predictions within the range of a numerical data variable.

      • An extrapolation involves making predictions outside the range of a numerical data variable.

    • Practices

Probability