WORKSAMP · LEARNING RESOURCES

Statistical foundations

Sample size, precision, confidence intervals and the limits of inference.

What do you need to work on?

Sample size, precision, confidence intervals and the limits of inference.

Observation plans, categories, routes and reliable data capture.

Proportions, time, capacity and improvement decisions grounded in data.

Examples and limits in manufacturing, maintenance and services.

Tools, organization and context for putting a study into practice.

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What changes when planning a study at 99% confidence: critical value, precision, sample size and assumptions.

Convert relative into absolute precision and plan a sample consistent with the proportion to be estimated.

Interpret p-charts without confusing control limits, confidence intervals and guarantees of study validity.

The binomial model in work sampling: observational units, assumptions, proportions and estimation uncertainty.

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