Statistical validity refers to whether a statistical study is able to draw conclusions that are in agreement with statistical and scientific laws. This means if a conclusion is drawn from a given data set after experimentation, it is said to be scientifically valid if the conclusion drawn from the experiment is scientific and relies on mathematical and statistical laws.
There are different kinds of statistical validities that are relevant to research and experimentation. Each of these is important in order for the experiment to give accurate predictions and draw valid conclusions. Some of these are:
These are the main types of statistical validity that one needs to consider during research and experimentation.