Numpy : Numpy is a powerful and versatile Python library that allows for efficient manipulation and analysis of large arrays and matrices of numerical data. It provides a variety of mathematical functions and operations that can be applied to these arrays, making it an essential tool for scientific and technical computing. One of the main […]

Numerical integration : Numerical integration is a method of approximating the definite integral of a function. This is important because there are many functions that cannot be expressed in a closed form, meaning we cannot find an algebraic expression for their integral. In these cases, we must use numerical integration to approximate the integral. There […]

Nyquist frequency : The Nyquist frequency, also known as the Nyquist rate, is a fundamental concept in the field of signal processing and communication. It refers to the maximum frequency at which a signal can be accurately sampled and reconstructed without aliasing, or the phenomenon of overlapping and incorrect frequencies appearing in the reconstructed signal. […]

Number numbness : Number numbness is a term used to describe the inability to comprehend and process numbers or mathematical concepts. It can manifest in a variety of ways, including difficulty understanding basic arithmetic, difficulty with more complex mathematical concepts, and even difficulty with counting or identifying numbers. One example of number numbness is difficulty […]

Number needed to treat : Number needed to treat (NNT) is a statistical measure that helps to quantify the effectiveness of a particular treatment. It is defined as the number of patients who need to receive the treatment in order to achieve a specific benefit or outcome. For example, if a treatment has an NNT […]

Null vector : A null vector, also known as a zero vector, is a vector with a magnitude of zero. This means that it has no direction or magnitude, and it is often represented as a vector with all components equal to zero. In other words, a null vector is a vector that has no […]

Null matrix : A null matrix, also known as a zero matrix, is a matrix with all elements equal to zero. In other words, it is a matrix where every element in the matrix is equal to 0. For example, consider the following matrix: [0 0 0] [0 0 0] [0 0 0] This matrix […]

Null Hypothesis : The null hypothesis is a statistical hypothesis that suggests that there is no significant difference between two groups or variables. It is used as a starting point for statistical tests and is often referred to as the “default” hypothesis. For example, consider a study that aims to investigate the effectiveness of a […]

Null distribution : Null distribution refers to the distribution of a statistical measure under the assumption that the null hypothesis is true. In other words, it is the expected distribution of a statistical measure when there is no relationship between the variables being studied. For example, consider a study examining the relationship between a person’s […]