Statistical Methods IIModule Details

The main objectives of the course are to:
Provide students with deep knowledge of the theory of hypothesis testing about population means and proportions.
Cover in detail all aspects of Analysis of Variance.
Cover in detail all aspects of the Chi Square Test.
Cover in detail all aspects of Correlation, Regression and Time Series Analysis.
Make students aware of the basic Non parametric Tests.

After completing the course students are expected to be able to:
1. Execute hypothesis testing for the Population Mean μ and the Proportion p.
2. Execute hypothesis testing for the difference between two Population Means (independent samples).
3. Make students aware of Linear Correlation and to perform Multiple Regression.
4. Execute Tests of Independence and Homogeneity.
5. Execute One-Way ANOVA tests.
6. Make students aware of the basic Non Parametric tests.
7. Cover in detail all aspects of Time Series Analysis.
8. Be able to use the SPSS package efficiently.