Mode is the only measure of central tendency to measure quantitative dataor qualitative data.
The four measures of central tendency are mean-also called average, mode-the most frequently occurring numerical, median-the middle number after arranging all data from lowest to highest numerical and lastly standard deviation-root-mean-square or square-root of the variance. These are the 4 measure of central tendency.
You can use them to describe the central tendency of the data but no more than that.
Measurement Scale Best measure of the 'middle' Numerical mode Ordinal Median Interval Symmetrical data- mean skewed data median Ratio Symmetrical data- Mean skewed data median
mode
Mode is the only measure of central tendency to measure quantitative dataor qualitative data.
That depends on the data.
The four measures of central tendency are mean-also called average, mode-the most frequently occurring numerical, median-the middle number after arranging all data from lowest to highest numerical and lastly standard deviation-root-mean-square or square-root of the variance. These are the 4 measure of central tendency.
Median
mean
The mode.
You can use them to describe the central tendency of the data but no more than that.
Measurement Scale Best measure of the 'middle' Numerical mode Ordinal Median Interval Symmetrical data- mean skewed data median Ratio Symmetrical data- Mean skewed data median
Mode.Mode.Mode.Mode.
mode
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 measure of central tendency that refers to the value that appears most frequently in a data set is the mode. It represents the data point with the highest frequency of occurrence.