Descriptive statistics
The quartiles and the box (or boxplot) are key tools in descriptive statistics for analyzing data spread and distribution. They allow to visualize the distribution of a dataset and to identify possible extreme values (outliers). 1. Quartiles The quartiles...
Descriptive statistics
The range, variance and standard deviation are dispersion measures in descriptive statistics. They allow to quantify how much the data of a set are scattered or concentrated around a central value (like the average). Here is a detailed explanation of each: Range: max...
Descriptive statistics
The central tendency measures are statistical tools used to summarize a dataset by identifying a "typical" or "central" value. The three main ones are the mean, the median and the mode. Here is a detailed explanation of each, with their definitions, calculations, uses...
Descriptive statistics
In statistics, data is classified into two main categories: qualitative and quantitative. These types determine how data can be analyzed and the statistical or graphical tools that are suitable for them. Here is a detailed explanation: Qualitative (or categorical)...
Descriptive statistics
Definition Descriptive statistics is a branch of statistics that consists of summarizing, organizing and presenting data in an understandable way, without seeking to draw general conclusions or make predictions. They focus on describing the characteristics of a...
