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WEEK 5 · INDEPENDENT PRACTICE

Sampling distributions and confidence intervals

Concepts, calculations, scientific claims and a formative self-check.

4 × 5 = 20 marks30–45 minutesNo R required

Scenario: Suppose a sample has standard deviation 12 and sample size 36. How precisely is its mean estimated?

Use the fictional dataset if the question refers to it. Always show your reasoning; an exact number without context is not enough. The four written tasks are teacher-assessed. The self-check below is formative and does not affect the 20-mark assignment.

Written problem set

TASK 1 · 5 MARKS

Define and frame

With s=12 and n=36 compute the estimated SE of the mean and explain how it differs from SD.

TASK 2 · 5 MARKS

Calculate or apply

If n increases from 36 to 144 with s unchanged, how does SE change? Calculate the new value.

TASK 3 · 5 MARKS

Evaluate the design

State the long-run coverage interpretation of a 95% confidence interval, avoiding a literal probability claim about the fixed parameter inside one observed interval.

TASK 4 · 5 MARKS

Interpret and communicate

Why may a narrow confidence interval from a large unrepresentative volunteer sample still lack external validity?

Standard scoring guide

Each written task is worth 5 points: correct key idea (2), justified application or computation (2), and a clear statement with limits (1). This original rubric is not official UCL assessment.

Formative self-check · 4 questions

Choose one answer for each item, then check the feedback. Answers and explanations are available on this public study page; the separate written-task instructor key is private.

1. Estimated SE when s=12 and n=36?
2. When n quadruples, approximately what happens to SE?
3. What does 95% refer to in a 95% CI?
4. What does a large volunteer sample not automatically fix?