GIGO
Garbage In-Garbage Out (GIGO) is a principle stating that the quality of output is determined by the quality of the input, especially in computing and data processing.
Garbage In-Garbage Out (GIGO) is a principle stating that the quality of output is determined by the quality of the input, especially in computing and data processing.
A model predicting the speed-accuracy trade-off in pointing tasks when using devices like a mouse, important for user interface design.
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty.
An experimental design where subjects are paired based on certain characteristics, and then one is assigned to the treatment and the other to the control group.
A cognitive bias where individuals overestimate the accuracy of their judgments, especially when they have a lot of information.
Internet of Things (IoT) refers to a network of interconnected physical devices embedded with electronics, software, sensors, and network connectivity, enabling them to collect and exchange data.
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.
A range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter.
The study of strategic decision making, incorporating psychological insights into traditional game theory models.