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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)

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