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What do we understand by descriptive statistics?
There are two major divisions in statistics: descriptive statistics and inferential statistics. Descriptive statistics differs from inferential statistics as it does not use probability theory as its base of explanations. Descriptive statistics is a quantitative way of describing main features of any concept. It is used to summarize a sample unlike inferential statistics where data is used to get information about population from a sample which is used to represent the data.
Two of the main measures that are usually used to describe a data are measures of central tendency and measures of dispersion. Central tendency includes the study of mean, median and mode. Study of dispersion involves the study of standard deviation or variance, skewness, kurtosis and maximum and minimum values of variables. All these topics have been described in details by our experts of Descriptive Statistic Homework Help. They also offers a study material on univariate analysis which where the derivations and sums will be included.
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