There are more than three measures. Some are better than others in some situations but not as good in other situations.
Common measures of central tendency are the mean, median, mode. Common measures of dispersion are range, interquartile range, variance, standard deviation.
Measures of central tendency are averages. Range , the difference between the maximum and the minimum, is a measure of dispersion or variation.
no it is a measure of dispersion.
Central tendency is used with bidmodal distribution. This measure if dispersion is similar to the median of a set of data.?æ
When you are trying to summarise data.
Common measures of central tendency are the mean, median, mode. Common measures of dispersion are range, interquartile range, variance, standard deviation.
difference
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None. Measures of central tendency are not significantly affected by the spread or dispersion of data.
Measures of central tendency are averages. Range , the difference between the maximum and the minimum, is a measure of dispersion or variation.
Central tendency will only give you information on the location of the data. You also need dispersion to define the spread of the data. In addition, shape should also be part of the defining criteria of data. So, you need: location, spread & shape as best measures to define data.
It is the measure of central tendency.
Mean median and mode
"Measures of central tendency are statistical measures." is an accurate statement.
Benefits of Central Tendency
no it is a measure of dispersion.
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.