Mann-Whitney test : The Mann-Whitney test, also known as the Wilcoxon rank-sum test, is a non-parametric statistical test used to compare the medians of two independent samples. This test is often used when the samples do not follow a normal distribution or when the variances of the samples are not equal. One example of the […]

Manifest variable : Manifest variables are those that can be directly observed and measured in a study. Examples of manifest variables include height, weight, and gender. One example of a manifest variable is height. In a study on the relationship between height and income, researchers could directly measure the height of each participant using a […]

Manhattan distance : The Manhattan distance, also known as the taxicab distance, is a measure of distance between two points in a grid-based system. It is calculated by taking the absolute difference of the two points’ coordinates in each dimension, summing those differences, and then returning the result. For example, consider two points, A and […]

Majority rule : The Malthusian parameter, also known as the Malthusian growth rate, is a concept in population dynamics that is used to describe the growth of a population in relation to the availability of resources. It is named after Thomas Malthus, who first proposed the idea in his 1798 book “An Essay on the […]

Mainframes : A mainframe is a large, high-powered computer that is capable of handling and processing vast amounts of data and information quickly and efficiently. Mainframes are typically used by organizations that need to process large amounts of data in real-time, such as banks, insurance companies, and government agencies. One example of a mainframe is […]

Main Effect : The main effect is a term used in statistics and psychology to describe the overall impact or effect of one variable on a dependent variable, without taking into account the potential influence of other variables. In other words, the main effect is the average effect of a single variable across all levels […]

Mahout : Mahout is a project of the Apache Software Foundation that aims to provide scalable machine learning algorithms and libraries. It is particularly well-suited for large-scale data processing tasks, such as those commonly encountered in big data environments. One example of how Mahout can be used is in the field of collaborative filtering, where […]

Machine Learning : Machine learning is a type of artificial intelligence that allows systems to improve their performance on a specific task by learning from data, without being explicitly programmed. This is done by using algorithms that can process large amounts of data and recognize patterns within it, in order to make predictions or take […]