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 main differences between the tests and introduce the most important issues related to the chi-square test.
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Gini index
The Gini index is a measure of the concentration of the distribution of a variable.
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Neural networks
Neural networks are a family of algorithms that are becoming increasingly popular for tasks in the areas of prediction, classification or clustering.
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Logistic regression
Regression is used to predict the value of the dependent (predictor) variable on the basis of the value of the independent variable or variables (predictors).
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SKEWNESS AND KURTOSIS
Kurtosis and skewness are measures of asymmetry that describe properties such as the shape and asymmetry of the distribution under analysis. They provide us with information on how the values of the variables deviate when compared to the mean value.
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Quantiles, quartiles, percentiles (measures of location)
We use quantiles to determine the position of a given value compared to others in a group or population. Let's say you have received your matriculation exam results in mathematics. Would you like to find out if your score is high compared to the results of the other people writing the baccalaureate…
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Pearson's chi-square independence test
The chi-square test of independence is one of the most common statistical tests. It is used to test whether there is a statistically significant relationship between two qualitative variables.
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Student T-tests
The Student's t-test group is used to compare two groups of results, measured by the arithmetic mean, against each other.
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