Glossary

Searchable terminology from accessibility, web standards, and related fields.

16 results found in Statistics.

Bonferroni Correction (Bonferroni Adjustment)
The Bonferroni correction is a statistical adjustment that controls the family-wise error rate when multiple hypothesis tests are performed on the same data. It divides the target significance thresho…
Chernoff Faces (Chernoff's Faces)
A visualisation technique introduced by Herman Chernoff in 1973 that represents multivariate data by mapping each data variable to a facial feature — eye size, eye spacing, nose length, mouth curvatur…
Cumulative Link Mixed Model (CLMM, Ordinal Mixed Model)
A statistical model for analysing ordinal outcome data (such as Likert-scale ratings) that includes both fixed effects (experimental conditions) and random effects (participants, stimuli). CLMMs use a…
DBSCAN (Density-Based Spatial Clustering of Applications with Noise)
A density-based clustering algorithm introduced by Ester, Kriegel, Sander, and Xu (1996) that groups data points located in dense neighbourhoods and labels sparse points as noise. Unlike k-means, DBSC…
Friedman Test (Friedman Rank Test)
The Friedman test is a non-parametric statistical test used to detect differences across three or more related samples - for example, the same participants rating three interface conditions. It ranks …
Inter-Annotator Agreement (IAA, Inter-rater agreement, Inter-coder agreement)
A statistical measure of how consistently two or more human annotators assign the same label to the same data item, widely used in NLP, computer vision, and AI dataset construction as a proxy for labe…
Krippendorff's Alpha (Krippendorff Alpha, Kalpha)
A statistical measure of inter-rater agreement used to assess how consistently two or more coders classify the same qualitative data. Developed by Klaus Krippendorff, the metric handles any number of …
Minimum Clinically Important Difference (MCID, Minimal Clinically Important Difference)
The smallest change in a measurement that is perceived as beneficial or meaningful from a clinical perspective. MCID thresholds help researchers and clinicians distinguish statistically significant ch…
Multivariate Data (Multivariate Dataset, High-Dimensional Data)
Data in which each observation or sample has more than two measured variables (dimensions). Analysing multivariate data is a core task in statistics, science, and business intelligence, but presenting…
Pointwise Mutual Information (PMI)
A statistical measure used in natural language processing to quantify the strength of association between two words based on how much more frequently they co-occur in a corpus than would be expected b…
Randomization Test (Randomisation Test, Permutation Test)
A randomization test (also called a permutation test) is a non-parametric statistical test that computes a p-value by re-shuffling the observed data many times under the null hypothesis and asking how…
Representative Sampling (Representative Page Sampling)
In web accessibility auditing, the practice of selecting a subset of pages from a website that statistically reflects the full site, so that evaluation findings can be generalised to pages not directl…
Shannon Entropy (Information Entropy, Source Entropy)
A measure of the average uncertainty or unpredictability associated with a set of possible outcomes, defined by Claude Shannon as H = -Σ p(x) log₂ p(x), where p(x) is the probability of each outcome. …
Statistical Graph (Statistical Chart, Data Graph, Quantitative Graph)
A visual representation of numerical or statistical data using geometric elements such as lines, bars, points, or areas to convey patterns, trends, relationships, and comparisons. Common types include…
Stratified Sampling (Stratified Random Sampling)
Stratified sampling is a statistical technique that divides a population into non-overlapping subgroups (strata) that share some characteristic, then draws a random sample from each stratum. In access…
Wilcoxon Signed-Rank Test (Wilcoxon Test)
The Wilcoxon signed-rank test is a non-parametric alternative to the paired t-test, used to compare two related samples when the data are ordinal or not normally distributed. It ranks the absolute dif…