Category: Lab Notes: Statistics

A t-test is a statistical test used to determine whether there is a significant difference between the means of two…

Statistical assumptions are the underlying conditions or requirements that must be satisfied for a statistical method, model, or test to…

A machine learning (ML) model is a computational algorithm or system designed to learn patterns and relationships from data in…

A statistical model is a mathematical framework that represents the process generating data in order to analyze, interpret, and make…

Regression analysis is a powerful statistical technique used to study the relationship between a dependent variable (often called the outcome…

A Type II error occurs in hypothesis testing when a researcher fails to reject a false null hypothesis (H₀). In…

A Type I error is a fundamental concept in hypothesis testing that occurs when a researcher incorrectly rejects a true…

The False Discovery Rate (FDR) is a statistical concept used to control the expected proportion of incorrect rejections of the…

The alternative hypothesis (H₁ or Ha) is a key concept in hypothesis testing that represents the statement researchers aim to…

The null hypothesis (H₀) is a central concept in hypothesis testing and inferential statistics. It represents a baseline or default…

Hypothesis testing is a fundamental statistical method used to make inferences or draw conclusions about a population based on data…

A word cloud is a visual representation of textual data in which words are displayed in varying sizes, colors, or…

A tree map is a visualization technique used to represent hierarchical data through nested rectangles, where the size and color…

A choropleth map is a thematic map in which areas are shaded, colored, or patterned in proportion to a statistical…

A Sankey diagram is a type of flow diagram used to visualize the movement or transfer of resources, values, or…