Outliers
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty.
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty.
A statistical rule stating that nearly all values in a normal distribution (99.7%) lie within three standard deviations (sigma) of the mean.
A problem-solving method that explores all possible solutions by examining the structure and relationships of different variables.
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables.
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean.
An experimental design where different groups of participants are exposed to different conditions, allowing for comparison between groups.
A data-driven methodology aimed at improving processes by identifying and removing defects, and reducing variability.
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables.
A form of regression analysis where the relationship between the independent variable and the dependent variable is modeled as an nth degree polynomial.