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What is the difference between running an ANOVA and 3 t tests on the same data?
The t-test is a method that determines whether two populations are statistically different from each other, whereas ANOVA determines whether three or more populations are statistically different from each other.
What does a two way repeated measures Anova tell you?
A two-way repeated measures ANOVA (also known as a two-factor repeated measures ANOVA, two-factor or two-way ANOVA with repeated measures, or within-within-subjects ANOVA) compares the mean differences between groups that have been split on two within-subjects factors (also known as independent variables).
How to tell the difference between two time series?
I have two sets of time series data (series1 and series2). Each data set has 20 samples for 20 time intervals (one sample per each time interval). I want to see if these two data sets are significantly different.
What is the difference between a t-test and an ANOVA?
To determine if the mean weight loss between the two groups is significantly different, researchers can conduct an independent samples t-test. 2. Paired samples t-test. This is used when we wish to compare the difference between the means of two groups and where each observation in one group can be paired with one observation in the other group.
Is there an exact test for time series?
But also, other repeated measures or multivariate procedures would fail because you have only 6 replications but 10 time points, so called high dimensional data. In the end, it is proven that there cannot be an exact test for data like that.
What do you need to know about repeated measures ANOVA?
Maybe repeated measures anova is what you want. It allows you to compare the subjects (inter subject factors) while taking the correlated structure of the “time series” per subject (intra subject factor). It is an easy but dated method and can be found in the context of “general linear models”, it needs some additional features (e.g. sphericity).