Descriptive Vs Inferential Statistics. It helps in organizing analyzing and to present data in a meaningful manner. On the other end Inferential statistics is used to make the generalisation about the population based on the samples. Typically in most research conducted ongroups of people you will use both descriptive and inferential statistics toanalyse your results and draw conclusions. In summary the difference between descriptive and inferential statistics can be described as follows.
Descriptive statistics refers to analysis of data in order to summarize the important characteristics of data in a meaningful way. So what are descriptive andinferential statistics. In summary the difference between descriptive and inferential statistics can be described as follows. They do not involve generalizing beyond the data at hand. This process allows you to understand that specific set of observations. Outlines the features of populations and samples.
A sample of the data is considered studied and analyzed.
For example we could calculate the mean and standard deviation of the exam marks for the 100 students and this could provide valuable information about this group of 100 students. It makes inference about population using data drawn from the population. Descriptive statistics are just descriptive. Typically in most research conducted ongroups of people you will use both descriptive and inferential statistics toanalyse your results and draw conclusions. The two types of statistics have some important differences. Join get 7-day free trial.