Statistical testing is, at least in theory, pretty straightforward: State your null hypothesis; Design a study and get some data; Apply a statistical test to the data to obtain a P value; and If ...

H0 is called our null hypothesis. In classical statistics, it’s the baseline, or the hypothesis to which you’d like to give the benefit of the doubt.

Null Hypothesis explains the process this way: In statistics, the only way of supporting your hypothesis is to refute the null hypothesis.

This often takes the form of a null hypothesis, which is a statistical hypothesis that states there will be no difference between observed and expected data.

A controversy concerning the usefulness of "null" hypothesis tests in scientific inference has continued in articles within psychology since 1960 and has recently come to a head, with serious ...

Top 10 ways to save science from its statistical self Null hypothesis testing should be banished, estimating effect sizes should be emphasized ...

This article explores the concept of statistical hypothesis testing, its process, and how organizations can leverage it to make better business decisions. We’ll also examine real-world examples ...

Answer: The null hypothesis is a statistical test, and might be a reasonable approach if we were looking only for statistical correlation between increasing CO2 and increasing temperature.