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Statistics

4 guides for this subject — how to prepare, what to practise, and how to know it has gone in.

A practice question

Choose an answer and it is marked, with the explanation. From Statistics Practice Questions: 10 Worked Examples.

Question 11 mark

A disease has prevalence 1%. A test has sensitivity 90% and a false-positive rate of 10%. Given a positive result, what is the probability that the person has the disease?

The probability is P(D|+) = (0.90 × 0.01) / [(0.90 × 0.01) + (0.10 × 0.99)] = 0.009 / 0.108 = 0.0833, or 8.3%. The strongest distractor is 90%, which is the sensitivity: P(+|D), not the requested P(D|+).

An illustrative single-best-answer question on conditional probability.

A spoken answer, marked

An examiner's question, answered out loud and marked criterion by criterion. From Statistics Viva Questions: Practise Clear, Defensible Answers.

Oral — A difference in sample meansMarked

Examiner

A study estimates a mean difference of 2.4 units, with a 95% confidence interval from 0.3 to 4.5. Interpret the result and explain what the interval means.

2:313:00Mark answer
78%A difference in sample means — marked78/100 · Sound, with one interpretation gap · 2:31 spoken of 3:00
Interpret the estimate in context17/20

The answer identifies a positive estimated difference of 2.4 units.

ImproveName which group has the higher mean and retain the units, if the groups are specified.

Explain the confidence interval15/20

The answer describes a plausible range for the population mean difference under the model.

ImproveExplain that a 95% procedure would cover the fixed parameter in 95% of repeated samples, under its assumptions.

Separate statistical from practical importance14/20

The answer notes that the interval excludes zero, but does not overstate the size of the effect.

ImproveSay that the interval suggests a positive difference; practical importance depends on the scale and context.

State a relevant limitation15/20

The answer mentions sampling uncertainty but not the assumptions behind the interval.

ImproveFlag study design and the validity of the standard error or model used.

A strong answerThe estimated mean difference is 2.4 units, with the first group higher if the difference was defined as first minus second. The interval from 0.3 to 4.5 is a range of values reasonably compatible with the data and the model. In repeated samples, a method producing 95% confidence intervals would contain the fixed population difference about 95% of the time, provided its assumptions hold. Since zero is outside this interval, the result is inconsistent with no mean difference at the corresponding two-sided 5% level under the same method. Whether a difference of this size matters in practice depends on the outcome scale and the study context.

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