FNR 100 Lecture 2: Data Analysis II.Lecture.Notes

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Is often the next step after you have collected and summarized the data. Inferential statistics is used to make inferences from a smaller group of data to a possible larger one. Research often requires testing a population that is very large. This problem is alleviated by selecting samples from the population and extrapolating what you found in the sample back to the larger population of interest. A complete collection of all elements (scores, people, measurements, results, etc. ) that are to be studied. A subcollection (or subset) of elements drawn from a population. The sampling distribution between the sample and population of interest must be the same. The sample mean and the population mean must be similar. Measures of central tendency and dispersion must be similar between sample and population of interest. Goal is to infer results from the sample to the larger population.

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