17
Sep
Descriptive Statistics Vs Inferential. Descriptive vs Inferential Statistics. Typically in most research conducted on groups of people you will use both descriptive and inferential statistics to analyse your results and draw conclusions. For descriptive statistics we choose a group that we want to describe and then measure all subjects in that group. Depending on the question you want to answer about a population you may decide to use one or more of the following methods.
As you can see the difference between descriptive and inferential statistics lies in the process as much as it does the statistics that you report. Descriptive statistics use summary statistics graphs and tables to describe a data set. Based on the representation of data such as using pie charts bar graphs or tables we analyse and interpret it. Inferential statistics allow you to use data to make predictions or inferences based upon the data. Descriptive statistics is a term given to the analysis of data that helps to describe show and summarize data in a meaningful way. It is a simple way to describe our data.
Descriptive statistics describe what is going on in a population or data set.
Unlike descriptive statistics this data analysis can extend to a similar larger group and can be visually represented by means of graphic elements. They do not involve generalizing beyond the data at hand. Descriptive vs Inferential Statistics. This type of statistics is applied on already known data. Descriptive statistics describe what is going on in a population or data set. This is in clear contrast to descriptive statistics.