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What were the assumptions you made for the Kolmogorov-Smirnov test?
Assumptions. The null hypothesis is both samples are randomly drawn from the same (pooled) set of values. The two samples are mutually independent. The scale of measurement is at least ordinal.
Is Kolmogorov-Smirnov an assumption test?
Kolmogorov-Smirnov test: In the case of a large sample, most researchers use K-S test to test the assumption of normality. This test should not be significant to meet the assumption of normality. Graphical method for test of normality: Q-Q plot: Most researchers use Q-Q plots to test the assumption of normality.
What is the assumption of independence of observations?
In the event that the assumption is violated, non-parametric tests can be employed. There is one more important statistical assumption that exists coincident with the aforementioned two, the assumption of independence of observations. Simply stated, this assumption stipulates that study participants are independent of each other in the analysis.
How to test the assumption of independence in statistics?
Test this Assumption: The easiest way to check this assumption is to verify that each observation only appears in each sample once and that the observations in each sample were collected using random sampling. An ANOVA is used to determine whether or not there is a significant difference between the means of three or more independent groups.
Is the change in the KS test significant?
Is this change significant? In this article, we are going to present some assumptions of the t-test and how the Kolmogorov–Smirnov (KS) test can validate or discredit those assumptions. That being said, it is crucial to state early on that the t-test and KS test are testing different things.
Which is an example of an independent observation?
Below are a few examples of violations of this assumption, and suggestions on how to address them: 1. You want to test if training students on a new study technique improves their test performance, so you randomly assign 10 classes at a high school to either receive the training or be in a control group.