Mathematics

8.12 Analysing Data

Term 3

Spread · Symmetry · Tails · Skew · MAD · Comparative inferences · Validity

Learning Objectives

Print

Analysing Data

  1. 1. Describe a distribution using spread, symmetry, tails and outliers.
  2. 2. Describe skew (positive, negative or none) from a display.
  3. 3. Calculate the mean absolute deviation (MAD) of a small data set.
  4. 4. Make comparative inferences across two data sets using measures of centre and spread.
  5. 5. Evaluate the validity of an inference (sample size, representativeness, bias).
  6. 6. Use measures of centre and variability to support or challenge claims about data.
  7. 7. Compare two data sets using boxplots and the five-number summary.

Review Pack

Open review hub
Fluency Pack A — 40 questions
Fluency Pack B — 40 questions
Problem-solving — 12 unfamiliar tasks
Worked solutions (Pack A + B + problems)