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stats week2
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Terms in this set (16)
simple random sample
A sample of size n selected from the population in such a way that each possible sample of size n has an equal chance of being selected.
random number table
random numbers of a table with same amount of digits, selected randomly
simulation
representation of a real-world phenomenon
sampling with replacement
although a number is selected for the sample, it is not removed from the population
stratified sampling
Divide the entire population into distinct subgroups called strata. The strata are based on a specific characteristic, all members share specific characteristic.
systematic sampling
numbering each subject of the population and then selecting every kth subject, starting at a randomly selected point
cluster sampling
Divide the population area into sections (or clusters). Then randomly select some of those clusters, include every member of each population
multistage sampling
Use a variety of sampling methods to create successively smaller groups at each stage. The final sample consists of clusters.
convenience sampling
using a sample of population who are readily available
sampling frame
list of individuals from which a sample is actually selected
under coverage
results when population members are omitted from the sample frame
sampling error
miscalculation
nonsampling error
human error
systematic
Kth term
cluster
large population into specific groups
multistage
random select until you have a small group
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