GCSE Mathematics 06 — Statistics
PublicTopics include Types of Data & Collection, Sampling Methods, Bias & Survey Design, Basic Charts & Representations, Averages & Spread (Ungrouped Data), Grouped Data & Frequency Polygons, Scatter Graphs & Correlation, and Cumulative Frequency & Box Plots.
Mathematics
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Sampling Methods
Methods for selecting a subset of a population to estimate its characteristics, ensuring fair representation.
Key points
- A Census surveys the entire population (accurate but expensive/time-consuming). A Sample surveys a subset.
- Simple Random Sampling: Every member has an equal chance of selection (use a random number generator).
- Stratified Sampling: Dividing population into groups (strata) and sampling proportionally. Formula: .
- Systematic Sampling: Selecting items at regular intervals (e.g., every 10th person) from a list.
- Capture-Recapture: Used to estimate population size for animals. Formula: (where =marked initially, =caught second time, =marked in second catch).
Worked example
Question
A school has 600 boys and 400 girls. You want a stratified sample of 50 students. How many girls should be selected?
Solution
1. Calculate total population: .
2. Calculate the proportion of girls: .
3. Multiply by sample size: .
Answer: 20 girls.
2. Calculate the proportion of girls: .
3. Multiply by sample size: .
Answer: 20 girls.
Common pitfalls
- Using a calculator's random function incorrectly (e.g., getting repeated numbers and not discarding them).
- In stratified sampling, rounding the number of people in a way that changes the total sample size.
- Forgetting the assumptions of capture-recapture (no migration, tags stay on, random mixing).
Prerequisites
- Proportions and ratios
- Basic algebra (for capture-recapture)
Further resources
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Sampling Strategies
Overview of all main sampling methods with pros and cons.