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.
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.
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.
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.
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).
Video
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Starter quiz
6 Questions
Exit quiz
6 Questions
80 people selected at random from the population of Oakfield
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80 people who buy gluten free bread at the bakers selected at random