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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.

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What is the difference between the measures of central tendency and the measures of dispersion?

difference


Are measures of central tendency complement to measures of dispersion?

call thi


What do you mean by measures of central tendency and dispersion?

Common measures of central tendency are the mean, median, mode. Common measures of dispersion are range, interquartile range, variance, standard deviation.


Which measures of central tendency become larger as the data is more dispersed?

None. Measures of central tendency are not significantly affected by the spread or dispersion of data.


Why is range not a measure of central tendency?

Measures of central tendency are averages. Range , the difference between the maximum and the minimum, is a measure of dispersion or variation.


Why are three different measures needed in math measures of central tendency and dispersion?

There are more than three measures. Some are better than others in some situations but not as good in other situations.


What is the difference between measure of central tendency and measures of dispersion?

Measures of central tendency, such as mean, median, and mode, summarize a dataset by identifying the central point or typical value. In contrast, measures of dispersion, such as range, variance, and standard deviation, describe the spread or variability of the data points around the central value. While central tendency provides an overview of where data points cluster, dispersion indicates how much the data varies, highlighting the degree of diversity or consistency within the dataset. Together, they offer a comprehensive understanding of the data's characteristics.


What are the two most important measures of a normal distribution?

The two most important measures of a normal distribution are the mean and the standard deviation. The mean indicates the central tendency or average of the data, while the standard deviation measures the dispersion or spread of the data around the mean. Together, these parameters define the shape and location of the normal distribution curve.


What is dispersion method?

It is the measure of central tendency.


Why is central tendency important?

Because it measures the averages of a collection of data


Is range a measure of central tendency?

no it is a measure of dispersion.


How do we obtain useful information from a set of data?

You calculate summary statistics: measures of the central tendency and dispersion (spread). The precise statistics would depend on the nature of the data set.