Applied Statistics: old exams Multivariate:
1. Table where Sorensencoëff was constructed, then those indices complete linkage make clustering.
2. How does NMDS? The difference with PCA / CA 3. Words: Pseudo Species and principal components
4. Single linkage clustering do o.b.v. data association matrix. Do the dendograme.
5. Differences in interpretation between CA and PCA + explain why this difference is there.
6. Word 'stress' and association matrix Exam 2012-2013
* Experiment where you had to tell you what to do to have. Proper sampling what statistics and why. null hypotheses formulation
* ANOVA table. Df's complete, calculate SS (MS data), discuss testing
Exam 2011-2012
* Initial data exploration (frequency distribution, outliers, noise and overlap and what are those terms ...)
* Experiment, and you must say what is wrong and how should we make it better.
* It’s given a table of values, and you must only calculate df and F ratio (MF is known) and withdraw decision
* With the same value, calculate spearman-rank correlation (formula given)