Confidence Interval
A range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter.
A range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter.
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation.
A statistical theory that states that the distribution of sample means approximates a normal distribution as the sample size becomes larger, regardless of the population's distribution.
A cognitive bias where people ignore the relevance of sample size in making judgments, often leading to erroneous conclusions.
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 statistical phenomenon where two independent events appear to be correlated due to a selection bias.
A statistical phenomenon where a large number of hypotheses are tested, increasing the chance of a rare event being observed.
A research method that focuses on collecting and analyzing numerical data to identify patterns, relationships, and trends, often using surveys or experiments.
A bias that occurs when the sample chosen for a study or survey is not representative of the population being studied, affecting the validity of the results.