Priekš aprēķiniem ieteicams izmantot software JASP - visi algos implementēti, bet var izmantot arī python libs SciPy, Statsmodels, and Pingouin
Karam eksperimentam noteikt statistical significance
https://www.simplypsychology.org/z-score.html
https://www.makeuseof.com/how-to-calculate-z-score-excel/
Testēt eksperemntu grupu atšķirības (2 grupas)
https://www.indeed.com/career-advice/career-development/how-to-calculate-p-value-in-excel
https://www.scribbr.com/statistics/statistical-tests/
Correlation between 2 scalar variables series
https://web.pdx.edu/~newsomj/uvclass/ho_correlation%20t%20phi.pdf
statistical significance between 2 groups (paired - no inter-dependence, unpaired - inter-dependence exists)
A t-test is a type of inferential statistic used to determine if there is a significant difference between the means of two groups, which may be related in certain features.
https://www.investopedia.com/terms/t/t-test.asp
If the groups come from a single population (e.g. measuring before and after an experimental treatment), perform a paired t-test.
If the groups come from two different populations (e.g. two different species, or people from two separate cities), perform a two-sample t-test (a.k.a. independent t-test).
If there is one group being compared against a standard value (e.g. comparing the acidity of a liquid to a neutral pH of 7), perform a one-sample t-test.
If you only care whether the two populations are different from one another, perform a two-tailed t-test.
If you want to know whether one population mean is greater than or less than the other, perform a one-tailed t-test.
https://www.scribbr.com/statistics/t-test/
ANOVA uses the F-test The Pr(>F) column is the p-value of the F-statistic.
Use a one-way ANOVA when you have collected data about one categorical independent variable and one quantitative dependent variable. The independent variable should have at least three levels (i.e. at least three different groups or categories).
https://www.scribbr.com/statistics/one-way-anova/
p-value https://www.scribbr.com/statistics/p-value/