univariate, data that has only one variable, population, A group of individuals or items that are being studied, sample, a group of individuals or items that are representative of the population from which they are selected, bias, statistical sampling or testing error caused by systematically favoring some outcomes over others., outlier, extreme value, simple random sample, every possible sample has an equal chance of being selected, convenience sampling, respondents are chosen based upon their availability, systematic sampling, participants are taken at regular intervals from a list of the population, stratified sampling, the population is split into groups based on factors relevant to the research, then a random sample from each group is taken in proportion to the size of that group, quota sampling, the population is split into groups based on factors relevant to the research, then convenience sampling from each group is used until a required number of participants are found
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Sampling Techniques
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Luiscastillo10
G11
Math
Statistics and data analysis
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