AQA A-Level Geography 7037
Water and Carbon Cycles
Hot Desert Systems and LandscapesLandscape
Coastal Systems and LandscapesLandscape
Glacial Systems and LandscapesLandscape
HazardsHazards or ecosystems
Ecosystems Under StressHazards or ecosystems
Global Systems and Global Governance
Changing Places
Contemporary Urban EnvironmentsHuman option
Population and the EnvironmentHuman option
Resource SecurityHuman option
Water and Carbon Cycles
Sampling, Accuracy and Measurement Error
- 3 things to know
- Component 1
Overview
Recall questions on random, systematic and stratified sampling, point, line and area sampling and sample size, and on accuracy and precision, random and systematic measurement error and the reliability of data.
What you need to know
Answer each one before you reveal it.
What is the difference between accuracy and precision in measurement?
What is the difference between random and systematic measurement error?
Questions from this subtopic
Each one with the model answer underneath.
- 1
What is random sampling?
Model answer
A sampling method in which every member of the population has an equal chance of selection, for example using random number tables to choose grid coordinates.
- 2
What is systematic sampling?
Model answer
A sampling method in which samples are taken at regular intervals, such as every 10 metres along a transect or every fifth person who passes.
- 3
What is stratified sampling?
Model answer
A sampling method in which the population is divided into sub-groups and each is sampled in proportion to its size, such as sampling each vegetation zone according to its area.
- 4
What is the difference between point, line and area sampling?
Model answer
Point sampling records data at individual locations, line sampling records along a transect, and area sampling records within quadrats of a fixed size.
- 5
What are the strengths and limitations of random sampling?
Model answer
It avoids bias in the choice of sites, but it can leave parts of a study area unsampled and some sites may be inaccessible.
- 6
Why does sample size matter in geographical investigation?
Model answer
Larger samples are more likely to be representative of the whole population and give more reliable statistical results, but they take more time and resources to collect.
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