More than a question, I was hoping to foster some discussion. There are many statistical concepts and methods that a biologist / ecologist should be familiar with. Having some ideas myself, I would be interested in having opinions about what these might be. My preferred response template would be an ordered list of topics, from the most to the least important. Any list would preferably include at least 8 topics that could be say an MSc module. Then feel free to comment on your list or those of others.
These arei in my opinion the list of crucial topics:
1. The concept of measure and metrics
2. Geometrical vs Probabilistic spaces
3. Statistical Inference
4. Correlation and Distance
5. Multidimensional Statistics (with a special emphasis on PCA and Cluster Analysis).
6. Pattern Recognition (Supervised vs. Unsupervised learning)
7. Hypothesis Generating - Hypothesis Testing
8. Modeling
To start with I also will introduce the discussion about the concept of sample vs population
In my opinion topics of Biostatistics in an M.Sc. programme should include (1) Measures of Central Tendency (2) Measures of Dispersion (3) Methods of Sampling (4) Introduction to probability (5) Hypothesis Testing about the mean, difference of means, variances and ratios of variances (6) Analysis of variance (7) Bioassays (5) Nonparametric methods.
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