I am not an engineer
Must read:Is there a real future in data analysis for self-learners without a math degree?

Generalized Linear Models (Intro)

If you see an error in the article, please comment or drop me an email. Generalized linear models include linear models, but they go beyond to handle many of the issues with linear models. Limitations of Linear Models Additive response models don’t make much sense if the response is discrete (for instance binary data) Additive

Multiple Testing

If you see an error in the article, please comment or drop me an email. Multiple Testing is all about minimizing errors due to chance. For instance, when running 20 hypotheses with an alpha level of .05, we expect to have one error, just by chance. H_0 is true H_a is true Total Declared significant

Distributions and probability

If you see an error in the article, please comment or drop me an email. Normal distribution Randomized sample of independent and identically distributed variables. Normal model can be used for sampling distributions if sample size > 30 independent probabilities randomized F distribution Ratio of the mean squares of n1 and n2 independent standard normals.

Foundations for inference

If you see an error in the article, please comment or drop me an email. Getting confused with the basics of inference? If you are a newbie to statistics, or just have not dealt with such kind of topic for a while, you might get confused by the many new terms, some of which sound