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Simple Random Sampling
Every sample has an equal chance of being selected
Systematic Sampling
Required elements are chosen at regular intervals from an ordered list
Stratified Sampling
Population divided into mutually exclusive groups and a random sample is taken from each
Quota Sampling
Researcher selects a sample that reflects the characteristics of the whole population
Opportunity Sampling
Taking the sample from people available at the time the study is carried out and who fit the criteria
Quantitative Data
Numerical Observations
Qualitative Data
Non-numerical observations
Continuous Variable
Variable that can take any value in a given range
Discrete Variable
Variable can only take specific values in a given range
Population
Whole set of items that are of interest
Census
Measures every member of a population
Sampling Units
Individual units of a population
Sampling frame
list of sampling units
Sample
Observations taken from a subset of the population