Random process means that all possible outcomes have a predictable chance of coming up; whereas we often think that random means unpredictable, random processes, the way statisticians think of them, are actually highly predictable, governed by a probability distribution.
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random sampling
Random sampling means every case in the population has an equal probability of being selected for the study.
random assignment
Random assignment is a method of assigning subjects to one experimental condition or another; it helps us rule out confounding variables by ensuring that any variables that affect our outcome variable, whether positively or negatively, will balance ...
data generating process (DGP)
The process that causes variation in the world; when the DGP goes on for a long time, you end up with a distribution that we can start to call a population.
shuffle()
The shuffle() function will mix up, or "shuffle", the values in a column into a randomized order. It is one possible method for simulating a random data generating process (DGP). Example 1: One way to see how the shuffle() function works is by ...
sampling
Sampling is the process by which we choose which objects to study.