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Having independent and identically distributed (IID) data is a common assumption for statistical procedures and hypothesis tests. But what does that mouthful of words actually mean? That’s the topic of this post! And, I’ll provide helpful tips for determining whether your data are IID.
- Independent and Dependent Samples
In this post, I’ll define independent and dependent samples,...
- Interpreting Correlation Coefficients
For example, let’s say that I have three data points (A, B,...
- Independent and Dependent Samples
3 lut 2022 · An independent variable is the variable you manipulate or vary in an experimental study to explore its effects. It’s called “independent” because it’s not influenced by any other variables in the study. Independent variables are also called: Explanatory variables (they explain an event or outcome)
In probability theory and statistics, a collection of random variables is independent and identically distributed if each random variable has the same probability distribution as the others and all are mutually independent. [1]
25 sie 2021 · Independent variables and dependent variables are the two fundamental types of variables in statistical modeling and experimental designs. Analysts use these methods to understand the relationships between the variables and estimate effect sizes. What effect does one variable have on another?
Two events are independent, statistically independent, or stochastically independent [1] if, informally speaking, the occurrence of one does not affect the probability of occurrence of the other or, equivalently, does not affect the odds.
2 wrz 2020 · In this post, I’ll define independent and dependent samples, explain their pros and cons, highlight the appropriate analyses for each type, and illustrate how dependent groups can increase your statistical power.
The degrees of freedom calculator finds the number of independent values in a data sample.
