Confidence intervals are a standard output of many free and paid A/B testing tools. Most A/B test reports contain one or more interval estimates. Even if you’re simply a consumer of such reports, ...

A confidence interval is a statistical concept that shows how likely it is that a range based on a sample of a population contains the mean, or the actual figure, for that data set. It's useful when a ...

In this example, the capability index C pk is computed for the amplification data in AMPS. To examine the accuracy of this estimate, the following statements calculate a 90% confidence interval for C ...

This example calculates confidence intervals based on the profile likelihood for the parameters estimated in the previous example. The following introduction on profile-likelihood methods is based on ...

Third in the series: Nobody becomes a Psych major to study statistics The science of uncertainty. Statistics – much to the regret of many potential psych majors – is the core methodology that links ...

I've become alarmed recently at the number of young engineers (i.e. those with less than 5 years of work experience), who seem to have missed the college course on applied probability and don't know ...

We give a large-sample analysis of the minimal coverage probability of the usual confidence intervals for regression parameters when the underlying model is chosen by a "conservative" (or ...

Geoff Cumming receives funding from the Australian Research Council. Such research findings sound exciting because the word significant suggests important and large. But researchers often use the word ...

An expected volume coefficient (EV) is defined and proposed to displace volume and selectivity as criteria for the evaluation of confidence sets, and a proposal for evaluation is given. This proposal ...