Why are measures of central tendency and measures of variability important to a visual representation of the distribution of data?
What will be an ideal response?
ANS:
Measures of central tendency indicate the one best score for describing a group of data, whereas measures of variability indicate how diverse, or different, scores are from one another. Together, these two measures can result in distributions that look different.
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