Statistics Study Guides

Descriptive statistics are mathematical techniques used to summarize and describe the main features of a dataset,…

A positive correlation is a statistical relationship between two variables in which an increase in one variable is…

Sampling is the process of selecting a subset of individuals from a larger population to represent that population in…

The process of updating the probability of a hypothesis as more evidence or information becomes available, using Bayes'…

Correlation refers to a statistical relationship between two variables, indicating that they change together, but it…

Correlational fallacy, also known as the fallacy of correlation implying causation, occurs when one assumes that a…

A quantity that summarizes the flexibility of a curve, with higher degrees of freedom indicating a more flexible and…

A quantitative measure of the magnitude of the difference or relationship between groups, used to assess the practical…

A statistical procedure used to make inferences about a population based on a sample of data, involving the formulation…

A branch of statistics that involves making predictions or inferences about a population based on sample data,…

A statistical method for binary classification problems, which uses a logistic function, also known as the sigmoid…

Measurement reliability refers to the consistency and stability of a psychological measure or instrument across…

Statistical techniques used to analyze and describe the relationships between variables, including correlation…

The quantitative methods used to describe and analyze the shape of a distribution, including concepts such as kurtosis,…

Quantitative methods used to describe the spread or dispersion of data, including range, variance, and standard…

A phenomenon in statistical learning where a model is too complex and performs well on the training data but poorly on…

Parametrized predictors are predictive models that are defined by a set of parameters, such as vectors or matrices.

Recurrence rates refer to the frequency at which a specific condition or event, such as a mental illness or a behavior,…

Regression problems involve predicting a quantitative response variable based on one or more predictor variables, often…

The sensitivity of a predictor measures its responsiveness to changes in input features.

A concept in statistical hypothesis testing that indicates whether an observed effect is due to chance or if it…

Time series analysis involves methods for analyzing time-ordered data points to identify trends, seasonal patterns, and…