*Tuesday, November 18th, 2014*

Good quote from Statistics Glossary:

“…

A two sample t-test is a hypothesis test for answering questions about the mean where the data are collected from two random samples of independent observations, each from an underlying normal distribution:

When carrying out a two sample t-test, it is usual to assume that the variances for the two populations are equal, i.e.

The null hypothesis for the two sample t-test is:H0: µ1 = µ2

That is, the two samples have both been drawn from the same population. This null hypothesis is tested against one of the following alternative hypotheses, depending on the question posed.H1: µ1 is not equal to µ2

H1: µ1 > µ2

H1: µ1 < µ2

…”

http://www.stats.gla.ac.uk/steps/glossary/hypothesis_testing.html#2sampt

- Two sample t-test
- paired t test
- One sample t test
- chi square test statistic
- Derivation of the linear least squares

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