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 ...

As the climate warms, scientists expect animals and plants to move to cooler areas—uphill, toward the poles, or into deeper waters. But in a surprising twist, scientists have found that over a third ...

Key Points Hypothesis testing provides organizations with a structured approach to evaluate assumptions using data, reducing ...

Null hypothesis vs. hypothesis, which is the right choice? When you get into the different methods of analyzing data, there is no shortage of tools at your disposal. Understanding the difference ...

Null hypothesis significance testing (NHST) is the default approach to statistical analysis and reporting in marketing and, more broadly, in the biomedical and social sciences.

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 ...

For example, we may want to investigate whether mean systolic blood pressure differs between two groups of patients. We would test the null hypothesis (often written as H0) that the two observed means ...

Beta risk is the probability that a false null hypothesis will be accepted by a statistical test.