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The central tendency, mean, median, and mode depict where most data points concentrate, while variability illustrates how far they are. It is exceedingly crucial because the amount of variability demonstrates the generalization one can make from the sample to the population. Low variability is desirable because it implies that predicting information about the population using sample data is well-justified. Contrarily, high variability illustrates decreased consistency, making data predictions harder.
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Finding a dataset's middle or average is critical and involves measuring central tendency. The central tendency's most common measures include the mode, median, and mean. The mode is the most repeated measure in a data set.
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Analysis of variance (ANOVA) is an inferential statistic employed to analyze data from an experiment with either multiple factors or independent variable's more than two levels. It is heavily used in dissertations or research. The variance may originate from one or more factors.
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