Here are the essential concepts you must grasp in order to answer the question correctly.
Levels of Measurement
Levels of measurement refer to the nature of data and include nominal, ordinal, interval, and ratio. Nominal data categorize without a specific order, ordinal data have a defined order, interval data have equal intervals without a true zero, and ratio data have equal intervals with a true zero. Understanding these levels helps in choosing appropriate statistical methods.
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Sampling Methods
Sampling methods are techniques used to select a subset of individuals from a population. Common methods include random sampling, where each member has an equal chance of selection; systematic sampling, which selects every nth member; convenience sampling, based on ease of access; stratified sampling, dividing the population into strata and sampling from each; and cluster sampling, selecting entire groups. The choice of method affects the representativeness and reliability of the data.
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Random Sampling
Random sampling is a technique where each member of the population has an equal probability of being selected. This method helps ensure that the sample is representative of the population, reducing bias and allowing for generalization of results. In the given question, selecting 50 voters randomly from each state exemplifies random sampling, aiming for a fair representation of political affiliations across states.
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