Section outline


  • EXPLORE / TŪHURA

    EXPLORE / TŪHURA learning intentions:

    • We are EXPLORING recognising categorical and quantitative data.
    • We are EXPLORING defining and recognising a census and a sample.
    • We are EXPLORING recognising a biased sample.
    • We are EXPLORING organising data using graphs.
    • We are EXPLORING interpreting data displays for information.


    Kia ora 9C2

    TERM 4  WEEK 1

    Success Criteria: I can/have...

    • Distinguish between categorical and quantitative data
    • Recognise census, sample, bias in a sample and outliers
    • Display categorical data using a column graph, pie chart, strip graph and  pictograph.
    • Compare and interpret data displays for information


    Activities:

    1. Maintenance Maths(Revision of previously learnt skills in preparation for CAT)
    2. What is data?
    3. Types of data - Categorical and Quantitative - explained with examples
    4. Discussion on collection methods of data and census, population, sample and bias in a data.
    5. Practice questions
    6. Looking at different graphs(column, line, strip, pie, pictograph)  - revision and reinforcement
    7. Displaying data using graphs - constructing graphs
    8. Reading and interpreting graphs
    9. Book exercises from MHOL tasks (Differentiated)


    Homework:

    Maths Buddy (Differentiation)