A concise book from 1893, worthwhile having a look at. Still feels quite modern in approach!
Source: Twenty rules for good graphics
A set of rules, worth reading or re-reading at the start of the new academic year.
A crucial question, and as usual a spot-on answer by Jochen Wilhelm in ResearchGate’s questions and answers area.
[Business Insider] The discovery of the CRISPR genome-editing technology shows why basic research is so important.
I am posting this as an example that when doing research one has to broadly think how what one is working on may have useful implications for different problems than those we are aiming to study.
The other point, is that basic research, even if it does not have a known or expected application can have a huge contribution to solving practical problems.
The NIH (USA, National Institutes of Health) has opened a new web site on the subject, which although focused on Biomedical research, provides a good account of current trends and problems, how to overcome them and guidelines that could be easily adapted for the rest of the Biosciences including Plant Science.
Visualizations, specially dynamic ones can help in the understanding of statistical concepts. You can find some wonderful examples at a web site called R <- psychologist.
Do you understand hypothesis testing? and the controversy behind it?
Understanding Statistical Power and Significance Testing
Do you understand confidence intervals (CI)?
Interpreting Confidence Intervals
When you see a scatter plot are you able to guess a value for the correlation?
Have fun! and get some new insights about statistical tests.