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Year 10 Extended · Unit 6

Statistics

About this unit

How do the choices made in representing and modelling data affect whether a claim drawn from it is valid?

Unit 6 · 10 lessons · April – May · the question this unit asks

Sections in this unit

  1. 10.6.1 Grouped data 1 week · 0 of 9 skills
  2. 10.6.2 Distributions and variability 1 week · 0 of 19 skills
  3. 10.6.3 Two-variable statistics and correlation 1 week · 0 of 10 skills
  4. 10.6.4 Regression and interpretation 1 week · 0 of 6 skills

Factual

  • What does a box plot show that a mean does not?
  • How is the correlation coefficient found, and what does its sign tell you?
  • Which measure of centre is most affected by an outlier?

Conceptual

  • What is lost when many values are summarised as one?
  • Why can two data sets with identical statistics look completely different?
  • When does a line of best fit stop being a reasonable basis for a prediction?

Debatable

  • Can a statistic be true and misleading at the same time?
  • Who is responsible for a misleading claim — the person who made the graph, or the person who shared it?

Skills

This is a joint interdisciplinary unit with English, assessed by a social media task, so the first three skills below are shared with that subject.

Students should be able to:

  • Evaluate a statistical claim encountered on social media by reconstructing what was done to the data before judging what is asserted about it.
  • Distinguish what a data set shows from what a post claims it shows, including where a correlation is presented as a cause or a prediction is pushed beyond the data.
  • Make a data-based claim of one’s own that is defensible both statistically and in the way it is worded.
  • Move between representations: read the same data as a table, a graph, a summary statistic and a sentence.
  • Judge the reasonableness of an answer, including its accuracy and its units.
  • Interpret a mathematical result in the context it came from, in words a non-mathematician would follow.
  • Use technology deliberately — and know what the machine has done, not only which keys produced the number.

How you are assessed

  • Social media task with English, MYP interdisciplinary criteria
  • Mathematics task on a real data set

Conventions

  • Population standard deviation, Tukey quartiles, outlier fences at one and a half interquartile ranges.

Before you start

Students arrive with:

  • Mean, median, mode and range for ungrouped data, and the mean from a simple frequency table.
  • Bar charts, pie charts and simple scatter graphs, with correlation described informally.
  • Percentages and proportion, and reading values from a graph.
  • From Unit 4, the equation of a straight line and the meaning of gradient and intercept, which the regression line depends on entirely.
Check what you remember