SE
Definition of SE
SE: SE stands for standard error. It is a measure of the variability of a dataset, and is calculated as the standard deviation of the set divided by the square root of the number of data points.
SE: SE stands for standard error. It is a measure of the variability of a dataset, and is calculated as the standard deviation of the set divided by the square root of the number of data points.
Definition of Type I Error Type I error: A type I error, also known as a false positive error, is the incorrect rejection of a true null hypothesis.
Definition of Mode Mode: Mode is a statistical measure of the typical value of a data set. It is calculated by taking the sum of the data values and dividing by the number of data points. Mode is most useful when dealing with nominal data. How is Mode used? Mode is a central measure of…
Definition of Data Engineering Data Engineering: Data engineering is the process of extracting meaning from data and transforming it into a form that can be used by business analysts, managers, and other decision-makers. Data engineering involves creating models and tools to make data more accessible and useful. What is Data Engineering used for? Data engineering…
Definition of Latent Class Analysis Latent Class Analysis: A technique used to identify unobserved (latent) classes within a population. How is a Latent Class Analysis used? Latent Class Analysis (LCA) is a statistical technique used to identify latent classes within data sets. These latent classes are clusters of data points with similar characteristics, which can…
Definition of JavaScript JavaScript is a programming language that enables developers to create complex websites and applications. JavaScript code is executed in the browser, which makes it a powerful tool for front-end development. Additionally, JavaScript can be used to create back-end functionality with Node.js. An Introduction to JavaScript in the Field of Data Science and…