January 2018
Beginner to intermediate
422 pages
9h 47m
English
Content preview from Regression Analysis with R
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Statistical significance test
When performing a statistical significance test, the so-called null hypothesis is initially assumed. According to it, there is no difference between the groups regarding the parameter being considered. The groups are equal and the observed difference is attributed to the case.
Obviously, the null hypothesis can be true or false. Now we have to decide: do we accept or reject the null hypothesis? To decide, we need to analyze our data with a significance test. If the test recommends rejecting the null hypothesis, then the observed difference is declared statistically significant. If, instead, the test advises us to accept the null hypothesis, then the difference is statistically not significant.
As always, the ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.