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The term central tendency refers to the middle value or a typical value of the data. It is measured using the mean, median, or mode of the data. Each of these processes is found using different methods, and the one that should be used depends on the situation. I truly hope this helps.

Q: What is central tendency of a data?

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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.

Mode is the only measure of central tendency to measure quantitative dataor qualitative data.

Central tendency is important because it is used to calculate an average on a collection of data. Central Tendency includes the mean, median, and mode.

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

"Central tendency" is a phrase comprising TWO words, it is not a word. Central tendency refers to the tendency of some data sets to collect around their middle value.

That depends on the data.

Yes. Central tendency is the way data clusters around a value. Even if the distribution of the value is skewed, the median would be the best indicator of central tendency because of the way the data is clustered.

The central tendency can be summarised by the mode, median or mean. For qualitative data, only the mode is available.The central tendency can be summarised by the mode, median or mean. For qualitative data, only the mode is available.The central tendency can be summarised by the mode, median or mean. For qualitative data, only the mode is available.The central tendency can be summarised by the mode, median or mean. For qualitative data, only the mode is available.

The measure of variability tells you how close to the central value the data values lie: that is whether the cluster is tightly packed around the central value of spread out over a large range of values.

The mean.

Median

mean