Te Kete Ipurangi Navigation:

Te Kete Ipurangi
Communities
Schools

Te Kete Ipurangi user options:

Level Four: Statistics

New Zealand Curriculum Level 4

In a range of meaningful contexts, students will be engaged in thinking mathematically and statistically. They will solve problems and model situations that require them to:

National Standards

In contexts that require them to solve problems or model situations, students will be able to:

Year 7

Year 8
Statistical investigation
  • Plan and conduct investigations using the statistical enquiry cycle:
    - determining appropriate variables and data collection methods
    - gathering, sorting, and displaying multivariate category, measurement, and time-series data to detect patterns, variations,relationships, and trends
    - comparing distributions visually
    - communicating findings, using appropriate displays.
Statistical literacy
  • Evaluate statements made by others about the findings of statistical investigations and probability activities.
Probability
  • Investigate situations that involve elements of chance by comparing experimental distributions with expectations from models of the possible outcomes, acknowledging variation and independence.
  • Use simple fractions and percentages to describe probabilities.

Elaborations on level four Statistics achievement objectives.

  • investigate summary, comparison, and relationship questions by using the statistical enquiry cycle:
    - gather or access multivariate category and measurement data
    - sort data and display it in multiple ways, identifying patterns and variations
    - interpret results in context, accepting that samples vary and have no effect on one another
  • order the likelihoods of outcomes for situations involving chance, checking for consistency between experimental results and models of all possible outcomes.
  • investigate summary, comparison, and relationship questions by using the statistical enquiry cycle:
    - gather or access multivariate category, measurement, and time-series data
    - sort data and display it in multiple ways, identifying patterns, variations, relationships, and trends and using ideas about middle and spread where appropriate
    - interpret results in context, identifying factors that produce uncertainty
  • express as fractions the likelihoods of outcomes for situations involving chance, checking for consistency between experimental results and models of all possible outcomes.