NCEA Level 3Evaluating reportsAS 91584

Evaluating a statistical report: the full answer

What this lesson covers

  • An Excellence answer ties every statistical point to the report's context.
  • Sample size alone is a weak criticism; representativeness and scope of inference matter more.
Key idea

Judging a claim in a report

  • A booklet of reports, a claim to judge.
  • One full answer, built step by step.
  • The same skills for any report.
Key idea

Read the question first

  • Underline the claim, the group, the command.
  • Find the part of the report that matters.
  • Never copy out the method.
Worked example

An invented report

  • 250 students volunteered online.
  • Breakfast daily: 108 of 150 passed.
  • Claim: breakfast improves maths results.
The report
Designonline survey
Sample250 volunteers
Whereone school
Breakfast daily108 of 150 passed
Not daily58 of 100 passed
Worked example

Use the numbers

  • 72% against 58%.
  • A difference of 14 percentage points.
  • Check what each percentage is out of.
WorkingValue
Daily108 ÷ 15072%
Not daily58 ÷ 10058%
Difference72 − 5814 points
Passers who ate108 ÷ 166about 65%
Worked example

Read the axis before the bars

  • Axis from 50%: nearly three times as tall.
  • Axis from zero: much closer.
  • Quote the values, not the heights.
Read the axis before the bars
Key idea

Critiquing the causal claim

  • "Improves" claims a cause.
  • Observational: the students chose.
  • Cause needs a randomised experiment.
This report
Study typeobservational
Who chosethe students
Other variablessleep, routine
Shows cause?no
Key idea

Explain it in this context

  • Breakfast eaters may also sleep more.
  • Sleep could lift results too.
  • Random allocation tends to balance it.
Worked example

Who do the results describe?

  • 250 volunteers from one school.
  • Volunteers may be more engaged.
  • Say why it does not extend.
This report
Sampled250 volunteers
Fromone school
Claim is aboutall students
Can describethese volunteers
Worked example

"Too small" is the weak criticism

  • A named 2025 error.
  • Size affects precision, not bias.
  • How it was chosen matters more.
WeakStrong
Sampletoo smallvolunteers, not random
Causemight be wrongobservational
Extendnot everyoneone school only
Key idea

Answer in the report's context

  • "There may be bias" fits any study.
  • Say who, what and why.
  • Volunteers may raise the pass rates.
Worked example

The full answer

  • Claim, evidence, design, scope.
  • Then a judgement.
  • A difference here; the claim not supported.
StepSay
Claimimproves: causal
Evidence72% v 58%
Designobservational
Scopethese volunteers
Judgementnot supported
Key idea

Words that cost marks

  • Bias is reduced, never eliminated.
  • Data supports a claim; it does not prove it.
  • Attempt every part; use spare pages.
Key idea

Where the marks are

  • Achieved: the features that matter.
  • Merit: evidence from the report.
  • Excellence: statistics and context, judged.
Summary

What to take away

  • Numbers, design, scope, then a judgement, all in context.
Questionunderline key words
Numbersquote them, check base
Causerandomised experiment
Scopewho, and why not wider
Sizeweaker than how chosen
Contextevery sentence
Your turn

Your turn: four questions

  • Pause here and answer each one.
  • Warm-up: 8 of 80 injured; others 24 of 120.
  • Claim: it halves injuries for all players.
GivenFind
18 of 80 v 24 of 120compare
2players chose itcause?
3one club onlyall players?
4"sample too small"better point
Show answer

1. 8 ÷ 80 = 10% of warm-up users injured, 24 ÷ 120 = 20% of others: 10 percentage points lower, half the rate, in this sample. 2. No: the players chose, so it is observational. Careful players may choose the warm-up and also play more safely. 3. No: one club, not a random sample of all netball players, so it describes this club at most. 4. The players chose the warm-up for themselves, and they come from one club: a design and representativeness point, not size.

Worked example

The answers

  • 10% against 20%: half, in this sample.
  • No: observational, players chose.
  • No: one club, not a random sample.
  • Self-chosen, and one club only.

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