Statistics Investigations

and

Statistical Literacy

Level 3

  • I can complete the PPDAC cycle for summative, simple comparative or relationship investigations
  • I can display my data using:
    • Tally charts
    • Frequency tables
    • Pictographs
    • Bar graphs
    • Strip graphs
    • Pie charts
    • Dot plots
    • Stem and Leaf
    • Line graphs
  • I can choose the most appropriate display for the type of investigation and justify my choice.
  • I can read information from different displays

Level 4

  • I can complete the PPDAC cycle for summative, simple comparative or relationship investigations.
    • I can choose the most important variables to answer my question.
  • I can discuss how and why I collect my data.
  • I can display my data using:
    • Tally charts
    • Frequency tables
    • Pictographs
    • Bar graphs
    • Strip graphs
    • Pie charts
    • Dot plots
    • Stem and Leaf
    • Line graphs
    • Scatter plots
  • I can choose the most appropriate display for the type of investigation and justify my choice.
  • I can describe patterns, differences and similarities and associations of variables.
  • I can critically evaluate an investigation
    • Data collection methods
    • Choice of displays
    • Data analysis
    • Claims

Level 5

  • I can complete the PPDAC cycle for summative, comparative or relational investigations.
  • I can collect data appropriately ensuring representative sampling and appropriate sample size. trying to avoid bias.
  • I can use a variety of displays (and choose the most appropriate) to display patterns, comparisons or relationships.
    • Box and whisker plots
    • Histograms
  • I can use measures of central tendency and spread.
  • I can analyse and make conclusions from from my displays.
  • I can make an informal inference when comparing 2 groups of data for a population.
  • I am able to discuss sampling variation.

Problem Solving Tasks

Online Activities

Text Book Work

Videos

Projects

Apple Picking Investigation

Assessment Preparation

Chance and Data Assessment Preparation