I started a research about the influence of food on the behaviour of giraffes. The food contains more fiber, so i expect more ruminating behaviour and less oral stereotypic behaviour.
The group consists of 4 giraffes. They'll eat there current diet for 14 days, i observe the following behaviours 3 times a day for 1 hour: eat, ruminate, oral stereotypic behaviour, other. The next 14 days they'll get the same diet + an addition with more fiber. The same behaviours are observed.
I want to compare the difference between the given behaviours, to see if the addition with more fiber to the current diet has an positive or negative effect on the behaviours.
Which statistical tests do i need?
Student's t-test: This test is suitable for comparing the means of two groups when the data is normally distributed. It can be used for comparing the means of behavioral measurements between two groups of animals.Analysis of Variance (ANOVA): ANOVA is used when you have more than two groups to compare. One-way ANOVA can be used for comparing means of a single factor (e.g., different treatments), while two-way ANOVA can be used for analyzing the influence of two factors on behavior.Mann-Whitney U test: Also known as the Wilcoxon rank-sum test, this non-parametric test is used to compare two independent groups when the assumption of normality is violated. It does not assume a normal distribution of the data.Kruskal-Wallis test: This is a non-parametric alternative to one-way ANOVA and is used when you have more than two independent groups to compare.Chi-squared test: This test is suitable for comparing categorical variables related to behavior, such as frequencies of specific behaviors among different groups of animals.
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