What do I use
Agriculture and food science
Field trials, varietal comparison, storage and processing studies, extension research.
Your question, and what answers it
With a post-hoc test that controls the error rate, not a series of t tests.
In ZStat: open your study, go to Analysis, and choose one way anova.
The interaction is usually the interesting part: a variety that responds to fertiliser and one that does not.
In ZStat: open your study, go to Analysis, and choose factorial anova.
Not if you blocked across the gradient. Record block as a factor and it comes out of the error term.
In ZStat: open your study, go to Analysis, and choose factorial anova.
Then regression when you want to predict rather than describe.
In ZStat: open your study, go to Analysis, and choose correlation matrix.
Time-to-spoilage is survival analysis, including the samples that had not spoiled when the study ended.
In ZStat: open your study, go to Analysis, and choose kaplan meier.
Or exact tests when the counts are small, which they usually are.
In ZStat: open your study, go to Analysis, and choose chi square independence.
What goes wrong in agriculture and food science
- Treating fifty plants from one plot as fifty observations. Randomisation was applied to plots, so the plot is the experimental unit and counting plants inflates n dramatically.
- A completely randomised design on a field with a visible gradient.