Inferential Statistics - In this occasion, i will try to discuss a little bit about Inferential Statistics. In fact, on the past article has been little discussed about it in the article that is titled The Differences of Statistical with Statistics. But, in this article i will explained it more deeply about this methods. Basically, the steps taken in this method is not much different from the Descriptive Statistics methods. only on this method gives more significant results. The difference lies is only in the final result. And this is the explanation about this Statistics methods.
Inferential Statistics methods include all methods for dealing with the analysis of partial data. From these data will then be taken to a conclusion about the overall data. Then, from these data will be taken a conclusion about the overall data. The generalization associated with this method is always has an uncertain nature. Because, the reference used is the partial information obtained from the partial data. So, knowledge of the theory of chance is absolutely necessary to account for these uncertainties.
So, even though the presentation of data in the form of graphs or tables has many uses, but in the end the ultimate goal of a statistical study is to make a decision and get a conclusions from the existing data. So, the statistical methods of inference is desperately needed. Because in the Inferential Statistics, usually use the formula and the hypothesis to analyzing the existing data and then obtained a conclusions.
