Question

discuss 3 limitation of inferential statistics

Answer 1

Following are the 3 major limitations of inferential statistics:

1.)

First limitation is that you are providing data about a population that you have not fully measured, and therefore, cannot ever be completely sure that the values/statistics you calculate are correct. Remember, inferential statistics are based on the concept of using the values measured in a sample to estimate/infer the values that would be measured in a population; there will always be a degree of uncertainty in doing this.

2.)

Inferential tests require the user to make educated guesses (on theory basis) to run the inferential tests. Again, there will be some uncertainty in this process, which will create doubts on the certainty of the results of some inferential statistics

3.)

Inferential statistics is difficult to learn and use propoerly. Also its vulnerable to abuse and misuse