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All 10 lessons in Collecting & Picturing Data

Builds on: PSP4

  1. 1. What Counts as Data? Words versus Numbers

    Classify data as qualitative or quantitative, and recognise that some numbers are only labels.

  2. 2. Counted or Measured? Discrete versus Continuous Data

    Split quantitative data into discrete (counted) and continuous (measured) using the number-line test.

  3. 3. Asking Fair Questions (and Keeping Answers Safe)

    Spot and fix leading, ambiguous, missing-option and missing-timeframe questions, and collect personal data safely.

  4. 4. Who Did You Ask? Samples and Bias

    Define population and sample, explain bias, and judge whether a sample is fair and large enough to trust.

  5. 5. Tidying the Pile: Frequency Tables

    Organise raw data into a frequency table with tally marks, total it as a check, and read facts from it.

  6. 6. Pictures of Categories: Pictograms and Bar Charts

    Construct and interpret pictograms (with a key and part-symbols) and bar charts, and weigh each chart's strengths.

  7. 7. Keeping the Numbers: Stem-and-Leaf Diagrams

    Split numbers into stems and leaves, build an ordered stem-and-leaf with a key, and read values, count and shape from it.

  8. 8. The Most Common Value: The Mode

    Find the mode from a list, a frequency table and a dot plot, and recognise bimodal sets.

  9. 9. The Middle Value: The Median

    Order data and find the median for odd and even counts, and read it from an already-ordered stem-and-leaf.

  10. 10. The Spread, and Telling the Whole Story

    Find the range as a measure of spread, read mode, median and range together, and write a conclusion to a statistical enquiry.

Unit code SP1