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    Importance of Central Tendency and Dispersion in Statistics

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    Why do you think it is important to describe both the measure of central tendency and the measure of dispersion when talking about a data set?

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    It is important to use both central tendency and measure of dispersion when describing a data set because the entire data set can be summarized and described using just a few descriptive statistics. You take many values and collapse them into just a few numbers.

    Central tendency (mean, median and mode): These three commonly used measures of central tendency can describe entire data sets (consisting of a huge number of entries) into a single value. For instance, consider a situation where a researcher records the height of all the participants in a clinical trial. When this researcher wishes to communicate the ...

    Solution Summary

    Including over 400 words, this response outlines the importance of using two descriptive statistics (central tendency and dispersion) to describe a data set. Real world examples are included to aid in understanding.