# Recent content by Trege32

1. ### Analysing bunch of data

Pretty much that is sample size, what is included in the example file (36 stations across the board)
2. ### Analysing bunch of data

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...
3. ### Testing Rainfall significance

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...
4. ### Testing Rainfall significance

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)
5. ### Testing Rainfall significance

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.
6. ### Testing Rainfall significance

Question - Is there at least one sample of those nine, which I have, what is actually different from other samples?
7. ### Testing Rainfall significance

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?