ACORN : Residential neighborhoods are often classified based on various factors such as the type of homes, the age of the neighborhood, and the socio-economic status of its residents. These classifications help in understanding the characteristics and features of a neighborhood, which in turn helps in determining the quality of life and amenities available in […]

Adjusted treatment means : Adjusted treatment means, also known as adjusted means or adjusted mean differences, are statistical methods used to compare the means of different groups or treatment conditions while controlling for potential confounders or other factors that may affect the results. This is important because without adjusting for such factors, the observed differences […]

Adjacency Matrix : An adjacency matrix is a square matrix used to represent a finite graph. The elements of the matrix indicate whether pairs of vertices are adjacent or not in the graph. In other words, the matrix is used to show the relationship between the vertices of a graph. For example, consider a graph […]

Additive Outlier : An additive outlier is a type of outlier that is caused by the addition of an extreme value to a dataset. This type of outlier can occur in any type of data, including numerical, categorical, and time series data. Additive outliers can have a significant impact on the analysis of a dataset, […]

Additive Model : The additive model is a statistical method used to analyze the relationship between a response variable and one or more predictor variables. In this model, the effects of the predictor variables are assumed to be independent and additive, meaning that the overall effect on the response variable can be calculated by summing […]

Additive Effect : Additive effect is a term used in various fields such as pharmacology, statistics, and environmental science to describe the outcome of combining two or more factors. In general, it refers to the situation where the combined effect of multiple factors is equal to the sum of their individual effects. This means that […]

Accident Proneness : Accident proneness refers to a tendency for an individual to be more likely than others to be involved in accidents. This can be due to a variety of factors, such as reckless behavior, carelessness, or simply being in the wrong place at the wrong time. One common example of accident proneness is […]

Acceptance Sampling : Acceptance sampling is a statistical method used to evaluate the quality of a product or batch of goods. It involves taking a sample of items from the batch and evaluating them to determine if they meet the required standards. This process allows organizations to make decisions on whether to accept or reject […]

Acceptance Region : Acceptance region, also known as critical region, is a specific area in a statistical hypothesis test where the null hypothesis is rejected. It is a range of values of the test statistic that leads to the rejection of the null hypothesis. In other words, if the calculated test statistic falls within the […]

Acceptable Risk : Acceptable risk is the level of risk that is deemed acceptable by a particular individual, organization, or society. It is a subjective concept that varies depending on the context and the specific situation. In general, acceptable risk is the level of risk that is considered to be tolerable or reasonable given the […]