A new study compares body mass index (BMI) with body fat percentage and finds the latter is far more reliable in predicting ...

So why are two-sided hypothesis tests used? Let us assume, for example, that we register the number of successful outcomes, meaning the number of patients who recover from the disease, in two separate ...

A study claimed that people who eat high-fat, low-carb diets weren’t seeing their arteries fill up with plaque, despite having high levels of blood cholesterol. Critics disagreed—and all hell broke ...

WHAT IS POWER AND WHY DOES IT MATTER Power and sample size estimations are used by researchers to determine how many subjects are needed to answer the research question (or null hypothesis). An ...

In this adapted excerpt from his new book “Doctored: Fraud, Arrogance, and Tragedy in the Quest to Cure Alzheimer’s,” Charles Piller looks how the amyloid hypothesis took over Alzheimer’s ...

Hypothesis testing is used to assess the credibility of a hypothesis by using sample data. Sometimes referred to simply as the “null,” it is represented as H 0.

A low p-value (typically less than 0.05) suggests that you can reject the null hypothesis in favor of the alternative, thereby validating your market research findings.

Spread the loveThe null hypothesis is an essential concept in statistical analysis and hypothesis testing, often denoted as H0. The null hypothesis states that there is no significant difference ...

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 ...