Question
Why don’t measures of central tendency give complete picture of distribution of data?
Enumerate the different methods of variability and explain any two of them.
Answer :
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A measure of central tendency is a single value that attempts to describe a set of data by identifying the central position within that set of data. As such, measures of central tendency are sometimes called measures of central location. They are also classed as summary statistics. The mean (often called the average) is most likely the measure of central tendency that you are most familiar with, but there are others, such as the median and the mode.
The mean, median and mode are all valid measures of central tendency, but under different conditions, some measures of central tendency become more appropriate to use than others.
Measures of Central Tendency
- Mean: The sum of all measurements divided by the number of observations.Can be used with discrete and continuous data. It is value that is most common
- Median: The middle value that separates the higher half from the lower half. Mean
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