Statistics 3

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  • Created by: Caraa
  • Created on: 20-06-13 19:41
Simple random sampling
Is where a sample is selected from a population and each individual is chosen by chance and so has an equal chance of being included in the sample.
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Stratified sampling
Where samples are taken from sub groups of the population as different groups have different opinions
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Cluster sampling
Where the entire population is split into groups and a random sample of these groups is selected
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Independant sampling
Samples selected from the same population or different populations which have no effect on each other
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Random sampling
Where a sample is selected from a population and each individual is chosen by chance but the chances of a person being included in the sample is not necessarily equal.
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Quota sampling
When samples are selected depending on what the sampling is for. Eg an interviewer going out and choosing people
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Systematic sampling
Where samples are chosen in a systematic way eg each 10 people
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What are the requirments of a sample
Unbiased and representative of the whole population
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Why would you take a sample
If the population is too large or the sampling process is destructive
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What is a 95% confidence interval
In repeated sampling, 95% of confidence intervals constructed in this way will contain the true population mean
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What is meant by a 5% confidence level?
The probability of rejecting H0 if it is true is 0.05
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An outlier will be
2 SD away from the mean. UQ (0.25)+1.5 x IQR
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Other cards in this set

Card 2

Front

Stratified sampling

Back

Where samples are taken from sub groups of the population as different groups have different opinions

Card 3

Front

Cluster sampling

Back

Preview of the front of card 3

Card 4

Front

Independant sampling

Back

Preview of the front of card 4

Card 5

Front

Random sampling

Back

Preview of the front of card 5
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