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These are the two main areas of statistical study
Descriptive statistics: According to descriptive statistics, short descriptive coefficients are used to summarise the characteristics of the data set, which is the whole population for a large sample that was chosen from it. Measures of central trend, like the mean, mode, and median, and measures of variability, which show how far apart data points are from the mean, make up this type of measure.
Inferential statistics: Inferential statistics uses math to apply data from a small group to a larger population so that forecasts and conclusions can be made about that population. Based on sample facts, it uses opportunity principle and statistical models to expect parameters approximately the entire populace and take a look at thoughts about the whole population. The principal purpose of inferential statistics is to use sample facts to discover about the complete network so that the consequences can be as correct and sincere as viable.