Confidence interval

As explained in Effective Data Analysis

A confidence interval is an interval estimate constructed by a statistical procedure to represent plausible values for a population parameter at a specified confidence level.

How Effective Data Analysis covers it

How deep it goes

Defines interval estimates and shows their use in a 95% evaluation, but does not explain calculation or statistical assumptions.

Examples

Uses Help Center views, chat support requests, and customer satisfaction measurements from 90-day before-and-after periods.

What it assumes

Assumes familiarity with population parameters, means, medians, t-tests, and aggregated versus granular data.

What you can do after

Evaluate before-and-after analytical results while communicating aggregation choices and data limitations to stakeholders.

How it connects

Connects confidence intervals with repeated measures t-tests, population parameters, means, medians, and data aggregation.

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Also explained in

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  Grokking StatisticsA confidence interval is an interval estimation procedure that expresses uncertainty about an unknown population parameter under a specified confidence level.
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  Starting Data Analytics with Generative AI and PythonA confidence interval is an interval-estimation procedure that gives a range of plausible values for a population parameter at a stated confidence level.
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  Experimentation for EngineersAn interval constructed from sample data that expresses a specified level of uncertainty about a population quantity or distributional value.
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  Statistics Slam DunkA confidence interval is an interval estimate constructed by a statistical procedure intended to contain a population parameter at a specified confidence level.
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  The Art of AI Product DevelopmentA confidence interval is a statistical range constructed from sample data to estimate an unknown population parameter with a stated confidence level.
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  Delivering Machine Learning Projects: From design to deploymentA confidence interval is an interval estimate expressing uncertainty about an unknown quantity at a specified confidence level.
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  Bayesian Optimization in ActionA confidence interval is an interval constructed to provide a specified long-run coverage level for an unknown parameter.
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  Refactoring to RustA confidence interval is a statistical range that expresses uncertainty around an estimated quantity at a specified confidence level.
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  Causal Inference for Data ScienceA confidence interval is an interval estimate that expresses uncertainty about an unknown population parameter under a specified confidence procedure.

Compare how 10 books explain confidence interval →

Related concepts

• uncertaintymeasures · Uncertainty is incomplete knowledge or confidence about a value, state, interpretation, behavior, or outcome.
• linear regressionused by · Linear regression is a statistical modeling method that estimates a continuous response as a linear combination of predictor variables and fitted coefficients.
• student's t-distributionused by · Student’s t-distribution is a family of continuous probability distributions with heavier tails than the normal distribution, used in inference when variability is estimated from data.
• accuracymeasures · Accuracy is the degree to which an output, prediction, or measurement agrees with a correct or reference outcome under a specified criterion.
• outlier detectionused by · Outlier detection is the process of identifying observations that substantially deviate from an expected or prevailing pattern in data.

This explainer was generated by Manning's knowledge graph from the text of Effective Data Analysis. The section links point to the parts of the book it draws on.