Hypothesis Testing : Hypothesis testing is a statistical method used to determine whether or not a certain hypothesis about a population is true. It is an essential tool in statistical analysis, and is used to make decisions about a population based on sample data. To understand hypothesis testing, let’s first define some key terms. The […]

Hypothesis : A hypothesis is a proposed explanation for a phenomenon or a set of observations. It is a testable statement that is used to help explain a phenomenon or to make predictions about future events. Hypotheses are essential in the scientific process because they help scientists to test their theories and to gather evidence […]

Hyperplane : A hyperplane is a subspace of one dimension less than the space it is embedded in. In other words, a hyperplane is a flat surface that divides a higher-dimensional space into two or more distinct regions. For example, in a two-dimensional space, a line can be thought of as a hyperplane as it […]

Hyperparameter Tuning : Hyperparameter tuning is the process of adjusting the hyperparameters of a machine learning model to optimize its performance on a specific dataset. This process is essential to achieving the best possible results from a model and can be critical to the success of a machine learning project. One example of hyperparameter tuning […]

Hyperparameter : Hyperparameters are a type of parameter in machine learning algorithms that cannot be directly learned from the data. They are set prior to training the model and are used to control the behavior of the learning algorithm. One example of a hyperparameter is the learning rate in a neural network. The learning rate […]

Hyperbolic distributions : A hyperbolic distribution is a type of probability distribution that is commonly used to model the behavior of complex systems or processes. This distribution is characterized by its heavy tails, which means that it has a higher probability of extreme values than other distributions. One example of a hyperbolic distribution is the […]

Huynh-Feldt correction : Huynh-Feldt correction is a statistical technique used to adjust the degrees of freedom in repeated measures designs. This correction is applied when the assumptions of sphericity, which is the assumption that the variances of the differences between all possible pairs of repeated measures are equal, are not met. One example of when […]

Hurdle Model : The hurdle model is a statistical model that is used to analyze the effect of multiple factors on a binary outcome. This model is often used in economics and marketing research to understand the factors that influence consumers’ decision-making process. For example, a company may use the hurdle model to understand the […]

Human Capital Model : The human capital model is a framework that explains the relationship between an individual’s skills, knowledge, and experience, and their ability to generate economic value. This model views human beings as a form of capital, with their skills and abilities representing a valuable resource that can be invested in and developed […]

Household Interview Surveys : A household interview survey is a type of survey that is conducted by interviewing individuals within a household. The goal of a household interview survey is to collect data on a particular topic or set of topics from individuals within a household in order to understand their attitudes, behaviors, and opinions […]