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.
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.
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 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.
Central TendencyIn central tendency the large group of data is grouped into a single value for effective business decision making.
The mean.
Median