Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine a newly revealed technique in ...

It's not feasible to contact every member of the population, so only a sample, or a subset, of that population is included when conducting statistical research. The assumption is that the sample is ...

Life is uncertain. None of us know what is going to happen. We know little of what has happened in the past or is happening now outside our immediate experience. Uncertainty has been called the ...

Have you ever stopped to wonder how a company can accurately measure consumer behavior without knowing what every single person is doing? If so, you’re not alone. In fact, we see questions about this ...

This technical note covers household surveys with a focus on probability sampling, bias, and survey weights. It explains how households are selected in a representative way from a population for a ...

The mathematician Daniel Litt has driven social media users to distraction with a series of simple-seeming but counterintuitive probability puzzles. In late January, Daniel Litt posed an innocent ...

The WeightedRandomItemSampler class implements a random sampler where the probability of selecting an item is proportional to its weight, with replacement allowed between samples. In other words, an ...

The host invites you to pick a door, any door. Let’s say you pick door one. The host throws open one of the doors you did not select, revealing a goat. Then the host gives you the option of switching ...