Sample proportions refer to the proportion or percentage of a specific characteristic or outcome within a sample. It is calculated by dividing the number of individuals with that characteristic by the total number of individuals in the sample.
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Population Proportions: Population proportions are similar to sample proportions but refer to the proportion or percentage of a specific characteristic or outcome within an entire population rather than just a sample.
Sampling Distribution: A sampling distribution is a theoretical distribution that shows all possible values for a statistic (such as sample proportions) when repeated samples are taken from the same population.
Margin of Error: The margin of error is an estimate of how much the sample proportion may differ from the true population proportion. It takes into account variability in sampling and provides a range within which we can be confident our estimate falls.