There are two dominant approaches to statistics. Here, I explain why you need to choose one or the other, and link to resources to help you make your choice. Most ecologists use the frequentist app...
Mostafa Ali's insight:
"At a broad-brush verbal level, both these approaches sound eminently reasonable, to the point that differences between them sound subtle to the point of unimportance. A frequentist basically says, “The world is a certain way, but I don’t know how it is. Further, I can’t necessarily tell how the world is just by collecting data, because data are always finite and noisy. So I’ll use statistics to line up the alternative possibilities, and see which ones the data more or less rule out.” A Bayesian basically says, “I don’t know how the world is. All I have to go on is finite data. So I’ll use statistics to infer something from those data about how probable different possible states of the world are.” And indeed, there are contexts in which Bayesian and frequentist statistics easily coexist."
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