A tale of two leaders with one making a courageous call at the toss, the other playing a plucky innings. It is too early to ...

5 AI bots took our tough reading test. One was smartest — and it wasn’t ChatGPT. We challenged AI helpers to decode legal contracts, simplify medical research, speed-read a novel and make ...

The t test is a commonly used hypothesis test in statistics that allows us to compare the mean value of a group of sampled data with some hypothesized value, usually a population mean value (from the ...

A common objective in applying a statistical test is to compare the mean (average) of one sampled group with some hypothesized mean or the mean of a population. For example, you might want to compare ...

The concept of statistical significance predated Gosset, but prior statisticians worked in the regime of large sample sizes. To appreciate why this distinction matters, we need to understand how ...

A one-tailed test is a statistical test in which the critical area of a distribution is one-sided so that it is either greater than or less than a certain value, but not both. If the sample being ...

Before calculating the t-test statistic, it’s essential to understand the type of t-test you will be using. There are three main types of t-tests: 1. One-sample t-test: This test compares the mean of ...

Once you have calculated the t-test statistic, compare it to a critical value obtained from a t-distribution table based on your chosen significance level (e.g., α = 0.05) and degrees of freedom (n1 + ...

Types of T-Tests Paired Sample T-Test Formula The paired t-test, or correlated t-test, is a dependent type of test and is performed when the samples consist of matched pairs of similar units, or ...