Quant
Definition of Quant
Quant: A quant is short for quantitative analyst.
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Gaussian Distribution
ByDavis
Definition of Gaussian Distribution Gaussian Distribution – A Gaussian or normal distribution is a type of probability distribution that is bell-shaped and symmetrical. This distribution is often used in statistics to model real-world data. What is a Gaussian Distribution used for? A Gaussian Distribution, more commonly known as a normal distribution or bell curve, is…
Observational Study
ByDavis
Definition of Observational Study Observational Study: Observational study is a study in which data is collected without affecting the participants.
Latent Class Analysis
ByDavis
Definition of Latent Class Analysis Latent Class Analysis: A technique used to identify unobserved (latent) classes within a population. How is a Latent Class Analysis used? Latent Class Analysis (LCA) is a statistical technique used to identify latent classes within data sets. These latent classes are clusters of data points with similar characteristics, which can…
Exact p-value
ByDavis
Definition of Exact p-value Exact p-value: The Exact p-value is the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true. What is Exact p-value used for? Exact p-values are used to help assess the strength of evidence for a hypothesis…
Measurement
ByDavis
Definition of Measurement Measurement: A measurement is a quantifiable value that is assigned to a variable. Measurement is the process of quantifying a property of an object. How are Measurements used? Measurements play an important role in data science and machine learning. They are used to help quantify and compare models, features, and data points….
Type I Error
ByDavis
Definition of Type I Error Type I error: A type I error, also known as a false positive error, is the incorrect rejection of a true null hypothesis.