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 ...

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 ...

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 ...

We propose pseudo-score confidence intervals for parameters in models for discrete data. The confidence interval is obtained by inverting a test that uses a Pearson chi-squared statistic to compare ...

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 ...

In this article we present a method for obtaining simultaneous confidence intervals for the parameters of a multinomial distribution, and we compare this method with the one suggested recently by ...

Explain the behaviour of a confidence interval over repeated independent sampling and how this is linked to the interpretation of a confidence interval as "providing a range of values which we are XX% ...