Posts

Showing posts with the label Statistical Tools for Quality Engineering

Chapter 3 : Statistical Tools for Quality Engineering: Probability Distributions, (Normal, Binomial, Poisson)

Image
Abstract: In quality engineering, the most commonly used probability distributions for analyzing data are the Normal (Gaussian) distribution, Binomial distribution, and Poisson distribution; each serving a specific purpose depending on the nature of the data and the type of quality characteristic being examined:.  Normal Distribution: Use case: When a quality characteristic is expected to be centered around a mean value with most data points clustered near the center and gradually tapering off towards the extremes (bell-shaped curve). This is often used for continuous data like measurements of length, weight, or voltage. Example: Monitoring the average diameter of manufactured components where slight variations are expected around a target value.  Binomial Distribution: Use case: When analyzing data where there are only two possible outcomes (success or failure) for each trial, and the number of trials is fixed.  Example: Inspecting a sample of products to det...