12
Nov
Descriptive And Inferential Analysis. Descriptive and inferential statistics. Its easy to use because you just need to put the value to the formula and see the results. That said the data can only be described. Descriptive statistics and inferential statistics are two broad categories in the field of statistics.
The primary difference between descriptive and inferential statistics is that descriptive statistics measure for definitive measurement while inferential statistics note the margin of error of research performed. Descriptive Statistics is a discipline which. This is useful for helping us gain a quick and easy understanding of a data set without pouring over all of the individual data values. In descriptive statistics the data is described in a very accurate manner. Descriptive statistics summarize the characteristics of a data set. As you know descriptive statistics is only use basic formula such as mean median mode variance standard deviation etc.
Descriptive statistics summarize the characteristics of a data set.
It may not be feasible for the same description or analysis to extend to a similar larger group. Both of them give us different insights about the data. In descriptive statistics measurements such as the mean and standard deviation are stated as exact numbers. Descriptive statistics are great for a small population. The inferential analysis makes the inference about a population which is done using the data that is drawn from a population. Whats the difference between descriptive and inferential statistics.