Should you believe the findings of scientific studies? Amid current concerns about the public's trust in science, old arguments are resurfacing that can sow confusion. As a statistician involved in ...

In statistical hypothesis testing, the null hypothesis serves as a foundational statement about a population parameter that we aim to test. It represents a default assumption, a status quo, or a ...

Rejecting the null hypothesis is a pivotal moment in statistical hypothesis testing, signaling that the evidence gleaned from a sample suggests the null hypothesis is likely false. This conclusion, ...

In hypothesis testing and statistical significance, the p-value is a crucial measure that helps make informed decisions. It represents the probability of obtaining results as extreme or more extreme ...

The 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 between the ...

Your browser does not support the audio element. In this article, I explain the concept of multiple hypothesis testing, its potential pitfall, and give one possible ...

It may be common knowledge that p < .05 indicates statistical significance. Psychology students (and others) are often taught that p < .05 means the probability (p) of rejecting the null hypothesis ...