LESSON 10

HIPOTHESIS TESTING

To begin, we made a brief introduction to test hypotheses, which are statistical tools to answer our research questions: it allows us to quantify the compatibility of a previously established assumptions and results obtained.

Depending on the variables involved in the study of our research will use the following tests: Chi Square test, T-test, ANOVA and regression lineal.

Secondly we study hypothesis errors. We call error probability of being wrong in rejecting the null hypothesis. The slightest mistake we can reject H0 is the p error. Normally we reject H0 for a maximum level of error of 5% (p <0.05)

If we have to reject the null hypothesis, the test does not tell us that we have to take alternative hypothesis, it is the researcher who decides it according to the results. This is what we call "statistical significance"

	Qualitative 2 group	Qualitative +2 group	quantitative
Qualitative 2 group	Chi square	Chi square	T student
Qualitative + 2 group	Chi square	Chi square	ANOVA
quantitave			Regression lineal