Weighted Average
Definition of Weighted Average
Weighted Average: Weighted average is a calculation that assigns a weight to each value in a set and then calculates the sum of those weights divided by the sum of the weights.
Weighted Average: Weighted average is a calculation that assigns a weight to each value in a set and then calculates the sum of those weights divided by the sum of the weights.
Definition of Jitter Jitter: Jitter is a measure of the variability of the time between samples in a data set. It’s a technique used to add random variation to data points in a time series in order to remove bias. What is Jitter used for? Jitter is a technique used in data science and machine…
Definition of Modeling Modeling: Modeling is the process of creating a mathematical representation of a real world phenomenon. Modeling is a process of using past data to understand and predict future outcomes. It can involve creating mathematical models to represent relationships in the data, or using machine learning techniques to build models from data that…
Definition of Strata, Stratified Sampling Stratified sampling is a type of probability sampling in which the population is divided into strata and a simple random sample is taken from each stratum. This type of sampling is used when the population is heterogeneous and the researcher wants to ensure that all strata are represented in the…
Definition of Two-sample t-test Two-sample t-test: A two-sample t-test is a statistical hypothesis test used to determine whether the means of two samples are statistically different from each other. The test statistic is a t statistic, which is the ratio of the differences between the means of the two samples to the standard error of…
Definition of Linear Algebra Linear Algebra: Linear Algebra is the study of mathematical problems that can be best explained in terms of linear equations. It is a powerful tool for solving problems in physics and engineering, and has many applications in data science. How is Linear Algebra used? Linear Algebra is widely used in the…
Bayesian Inference is a statistical method of using prior knowledge and data to generate probabilities about future events.