Generally, we will discuss several key topics of quantitative research. Further we will focus on the possibility of intercommunication between quantitative and qualitative research.

1) Intro + organisation

2) Univariate statistics (Modus, Median, Mean, Standard Deviation)

Using excel for visualization of data

3) Probability distributions, Normal Curve, z-scores

4) Statistical inference I.

- sampling

- samples and populations

- hypothesis testing

- estimating population parameters

5) Bivariate statistics I.

- t-test, chi-test, F-test

6) Bivariate statistics II.

-correlation (Pearson vs. Spearmen)

- visualization (in excell/R)

7) Bivariate Regression I.

- assumptions + limits

- interpreting coeficcients (b0, b1, R2 etc.)

8) Bivariate regression II.

- residuals (heteroscedasticity/homoscedasticity)

9) Multivariate regression

10) Causal inference

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11) project presentatins I.

12) project presentations II.