Question

central tendency,dispersion and skewness are three measures to analyse numerical data
comment​

Answer 1

Comment on the statement ''central tendency,dispersion and skewness are three measures to analyse numerical data'' is as follows:

• Mean, median, mode are the central tendency's most common three measures.

• The indication where most values in a distribution falls is referred to the measures.
• The central location of distribution is also indicated by these measures.
• These can be defined as the tendency of data, to cluster around a middle value.
• There is also contradiction between central tendency and dispersion.

Answer 2

Explanation:

measures of central tendency are mean, mode and median , whereas measures of dispersion are variance, standard deviation and interquartile range (it explains the extent to which distribution stretched or squeezed).Two important types of statistics aremeasures of central tendency and measuresof dispersion. A measure of central tendencyis a number used to represent the center or middle of a set of data values. The mean, median, and mode are three commonly usedmeasures of central tendency.The measure of how asymmetric a distribution can be is called skewness. The mean, median and mode are all measures of the center of a set of data. The skewness of the data can be determined by how these quantities are related to one another.