Outlier cases. Identification and significance in data analysis
In data analysis, it is important to identify unusual observations that are significantly different from the others. Such values, called outliers or outlier cases, can affect the...
Levels of measurement
The level of measurement is one of the most important properties of variables. It determines which statistical tests will be available to the researcher during the course of the...
Pearson's chi-square correlation test
Popular statistical tests include Pearson's chi-square tests. It is worth noting at the outset that this test has more than one application. In this material, I will discuss the...
Entropy
Entropy is a measure of disorder or uncertainty in a probability distribution.
Gini index
The Gini index is a measure of the concentration of a variable's distribution.
Logistic regression
Regression is used to predict the value of the dependent (predicted) variable on the basis of the value of the independent variable or variables (predictors).
Neural networks
Neural networks are a family of algorithms that are becoming increasingly popular for tasks in the areas of prediction, classification, and clustering.
From variance to the method of least squares
The mean is one of the most popular and widely used statistical measures. However, by itself, it is not an exhaustive indicator and only allows us to determine the central...
Factor analysis
The aim of factor analysis is to explain as much of the variation as possible with as few variables as possible.
