Inferential Statistics

In order to reach the solutions that extend beyond the immediate data, we can use inferential statistics. It is used to make judgments of the probability whether the difference observed between the groups is independent of one-to-one model that might have happened by chance during the process. We use inferential statistics to make conclusions from the data that is collected in general conditions. Inferential statistics are useful in experimental and quasi-experimental design for probability outcome evaluation. It is a simple testing method. Many inferential statistics methods comes from general family models known as General Linear Model. This includes t-test, cluster analysis, factor analysis, and multidimensional scaling.