Factor Analysis
A statistical method used to identify underlying relationships between variables by grouping them into factors.
A statistical method used to identify underlying relationships between variables by grouping them into factors.
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty.
A statistical measure that quantifies the amount of variation or dispersion of a set of data values.
A symmetrical, bell-shaped distribution of data where most observations cluster around the mean.
A statistical distribution where most occurrences take place near the mean, and fewer occurrences happen as you move further from the mean, forming a bell curve.
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.
A type of data visualization that uses dots to represent values for two different numeric variables, plotted along two axes.
A statistical method that models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.
A data-driven methodology aimed at improving processes by identifying and removing defects, and reducing variability.