It is a measure of the middle or central value of a variable of interest. There are different measures of central tendency and their purposes are not exactly the same. However, the basic principle is that the observed values of the variable are more likely to be near the central tendency value than far from them.
Some central tendency values cannot ever be observed. A normal number cube, for example, has a mean value of 3.5 but you cannot possibly throw a 3.5!
"Measures of central tendency are statistical measures." is an accurate statement.
well...the measures of the central tendency would be 30 minutes
mode
One advantage to using central tendency is the fact that is represents all data. A disadvantage to using central tendency is the fact that extremes can skew the data.
Because it measures the averages of a collection of data
"Measures of central tendency are statistical measures." is an accurate statement.
Benefits of Central Tendency
One of the measures of central tendency IS the average, also known as mean. You can't calculate the average from other measures of central tendency.
"What are the benefits of measures of central tendency? Explain with an example
easures of central tendency
The mean of 9 is 9. The median of 9 is 9. The mode of 9 is 9. These are the commonest measures of central tendency.
well...the measures of the central tendency would be 30 minutes
None. Measures of central tendency are not significantly affected by the spread or dispersion of data.
difference
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The mean and median are two measures of central tendency. In introductory statistics many schools include the mode as another example of central tendency but the mode could well be at the end of a distribution.
Common measures of central tendency are the mean, median, mode. Common measures of dispersion are range, interquartile range, variance, standard deviation.