Why is it important to report both a measure of central tendency and variability to describe a set of scores? Question 19 options: Sets of data with the same central tendency may have different patterns of variability. Sets of data with different central tendencies may have different patterns of variability. Sets of data with the same central tendency may have the same patterns of variability. Sets of data with the same variability may have different patterns of central tendency.

Why is it important to report both a measure of central tendency and variability to describe a set of scores? Question 19 options: Sets of data with the same central tendency may have different patterns of variability. Sets of data with different central tendencies may have different patterns of variability. Sets of data with the same central tendency may have the same patterns of variability. Sets of data with the same variability may have different patterns of central tendency.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 11PPS

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Why is it important to report both a measure of central tendency and variability to describe a set of scores?

Question 19 options:

	Sets of data with the same central tendency may have different patterns of variability.
	Sets of data with different central tendencies may have different patterns of variability.
	Sets of data with the same central tendency may have the same patterns of variability.
	Sets of data with the same variability may have different patterns of central tendency.

Definition Definition Characteristic of data to concentrate at certain values, usually in the center of the distirbution. The central tendency of the data is measured by descriptive statistics like mean, median, and mode, which are known as measures of central tendency. Depending upon the type of data under study, some measures of central tendency become more appropriate to use than others.

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