Recent content by Trege32

Pretty much that is sample size, what is included in the example file (36 stations across the board)

Hello! I have a question about statistical testing on hydrological statistics - I am trying to find a correlation on the link between a multitude of values and arguments (like precipitation and number of cases, etc). My question is what kind of test should be used to find a connection between...

I leave here one dummy example of dataset. In short, the aim is to determine, if one (or more) of those columns has big enough difference to prove it statistically...or which test to use for it? EDIT 1: In addition question - which test would be good choice for testing if rainfall is dependant...

Geographically - it's Estonia. Small enough country to not have very distinctive climatic differences, but I am rather interested to prove its difference on time scale (as in one decade has less rainfall than others in question)

There are nine samples, each representing the average of decade (as in period of 10 days) over the timeframe of 1935-2015 (during June-August) in all the stations measured. Like one sample is collection average of June's first decade (dates 1-10) in all stations between 1935 and 2015.

Question - Is there at least one sample of those nine, which I have, what is actually different from other samples?

Hi! I have 9 samples of rainfall data, which all are average of time periods (columns) at given station (rows). Samples are all equal in number of variables. My question is - how to test, if any one of those 9 samples are statistically significant?