When we have temperatures in decades (ten days) for example for 5 years, could Anova be adequate to compare sums of tempreatures to know whether there is difference between these sums over the years or there is a stability?
Depends on how you formulate your hypothesis, dependent, and independent variables.
Maybe for stability, you can look at the differences, and use simple linear regression model and Anova.
You can try time series, but they are not straightforward as linear model for hypothesis testing.
I'm not sure ANOVA is the answer for this problem. It's a time series and what you need to do is a trend analysis, taking into account variations due to seasonality etc.. Seasonality can be corrected by moving average or Exponential smoothing techniques.
Hope this helps and that I understood your question.
As Mahdi, suggested ANOVA can give you limited answer. However a trend analysis would be better option, as recommended by Omar. All depends, what you want to study.
Yes, I think that Omar is right and thank you for your precious respponses.
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