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 ...

Research and statistical analysis help us understand how the world works, how effective medications and treatments are, what influences our health, the best approach for business practices, and much ...

In the middle of the 20 th century, the field of psychology had a problem. In the wake of the Manhattan Project and in the early days of the space race, the so-called “hard sciences” were producing ...

Christina Majaski writes and edits finance, credit cards, and travel content. She has 14+ years of experience with print and digital publications. Khadija Khartit is a strategy, investment, and ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

Every medical researcher dreams of doing studies or conducting clinical trials that generate results so compelling they change how diseases are treated or health policy is written. In reality, we are ...

Researchers design studies that might disprove what’s called their null hypothesis – the opposite of the claim they’re interested in exploring.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is most often used by researchers to test predictions, called hypotheses. The first step in ...