Introduction Major depressive disorder (MDD) is a major global healthcare challenge. This is, in part, due to the lack of treatment response and chronic course of MDD. Such a course of illness is ...

Selecting a random sample from a set is simple. But what about selecting a fair random sample from a set of unknown or indeterminate size? That’s where reservoir sampling comes in, and [Sam ...

The BBC's use of figures should give them no more and no less weight than the evidence supports. (11.4.1) Claims made in press releases should be tested appropriately rather than taken at face value.

For some women, getting a Pap smear is hell. Since her early twenties, Kevinn Poree has suffered from chronic vaginal pain — pain that led her to scream in agony the first time a gynecologist ...

The size of your dataset can influence the choice of statistical test. Some tests, like the Z-test, are more suitable for large samples, while others, like the t-test, can be used for smaller samples.

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 ...

Abstract Choosing appropriate statistical tests is crucial but deciding which tests to use can be challenging. Different tests suit different types of data and research questions, so it is important ...

How to run the t- and z-tests Step 1) Define the alternative and null hypothesis The first step in statistical hypothesis testing is to define the the alternative and null hypothesis. In a one-sample ...

Chi-square is useful for analyzing such differences in categorical variables, especially those nominal in nature. χ2 depends on the size of the difference between actual and observed values, the ...