Summarise data and judge the strength of numerical evidence. You will distinguish a population from a sample, choose appropriate summaries and interpret uncertainty. Business examples cover demand, customer service, workforce information and variation in operating performance.

Learning outcomes

  • Select an appropriate data summary
  • Interpret a confidence interval
  • Explain limits of a correlation

Main topics

  • Sampling
  • Descriptive statistics
  • Probability distributions
  • Confidence intervals
  • Hypothesis testing
  • Correlation and regression

Practical task

Analyse an anonymised service dataset and write a short evidence report.

Assessment

Assessment combines applied exercises, a documented case or practical portfolio and an individual written or oral explanation. Judgement considers technical accuracy, reasoning, evidence quality and the feasibility of recommendations.

Last modified: Sunday, 13 September 2026, 4:47 PM