Error bars illustrate the margin of error for a survey estimate by showing how precise that estimate is. Here are some answers to common questions that might help you better understand charts with ...

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 ...

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, ...

Sample size and power calculations are available for one-sample and two-sample paired and independent designs, when the proposed analysis is construction of confidence intervals of a mean (one-sample) ...

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 ...

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 ...

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 ...

The linkage disequilibrium method is currently the most widely used single sample estimator of genetic effective population size. The commonly used software packages come with two options, referred to ...

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% ...