Advanced problem solving with sampling
I can use my understanding of sampling to solve problems.
Advanced problem solving with sampling
I can use my understanding of sampling to solve problems.
These resources will be removed by end of Summer Term 2025.
Lesson details
Key learning points
- Samples can be evaluated to determine the validity of any conclusions.
- A suitable sample size can vary, depending on the statistical enquiry.
- A biased sample can still be useful, such as in stratified sampling.
Keywords
Sample - A sample is a subset of the population.
Stratified sample - A stratified sample is where a representative sample is taken from each stratum.
Bias - Bias can be present in any sample collected from a population and may affect the results of a statistical investigation.
Common misconception
Biased samples are always bad.
A biased sample is sometimes useful if the sample is proportional to the population and/or it focuses on a section of the population relevant to the investigation.
Licence
This content is © Oak National Academy Limited (2024), licensed on Open Government Licence version 3.0 except where otherwise stated. See Oak's terms & conditions (Collection 2).
Lesson video
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Starter quiz
6 Questions
Exit quiz
6 Questions
80 people selected at random from the population of Oakfield
80 people selected at random from the baker's customers
80 people who buy cakes from the bakers selected at random
80 people who buy gluten free bread at the bakers selected at random