Type II Error
Definition of Type II Error
Type II error: A type II error, also known as a false negative error, is the incorrect acceptance of a false null hypothesis.
Type II error: A type II error, also known as a false negative error, is the incorrect acceptance of a false null hypothesis.
Definition of Discrete Variable A discrete variable is a variable that can only take on certain, specific values. Contrast this with a continuous variable, which can take on any value within a given range. Discrete variables are often used in statistical models to represent outcomes that can only happen a certain number of times, or…
Definition of MATLAB MATLAB is a software suite for high-performance numerical computation, visualization, and programming. It integrates mathematical computing, simulation, and graphical output into a single software environment. MATLAB is used extensively in engineering and scientific fields. How is MATLAB used? MATLAB is a high-level programming language developed by MathWorks for numerical computing and data…
Definition of Regression Regression: Regression is a technique used to model relationships between variables. It can be used to predict future values based on past values.
Definition of K-Nearest Neighbors K-Nearest Neighbors (KNN) is a machine learning algorithm used to predict the output value of a target variable by finding the k nearest neighbors of a given input value. The algorithm assigns a weight to each neighbor, then uses a weighted average to predict the output value for the target variable….
Definition of Joint Probability Joint Probability: Joint probability is a measure of the likelihood that two or more events will occur simultaneously. It is calculated by multiplying the individual probabilities of each event. For example, if there is a 50% chance of rain on any given day and a 40% chance of a thunderstorm, the…