AppTweak's Simon Thillay explains why app marketing teams should prioritize business outcomes over statistical significance.

The claim that 100,000 people will die from Trump’s Medicaid cuts isn’t a fact—it’s a distortion of nuanced research turned ...

Many innovative concepts never see the light of day as they don’t meet the stringent criteria of Statistical Significance, despite their potential to drive meaningful economic and societal change.

Many bankers hear the term “Statistical Significance” but don’t know what it means and how it is relevant to potential fair lending violations. Typically, when an examiner is evaluating if a ...

A two-tailed test is the statistical testing of whether a distribution is two-sided and if a sample is greater than or less than a range of values.

The most common test of statistical significance originated from the Guinness brewery. Here’s how it works ...

Learn how to distinguish between statistical significance and practical importance in t-tests to ensure your data analysis is meaningful and impactful.

A one-tailed test is a statistical test in which the critical area of a distribution is either greater or less than a certain value, but not both.

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

Before calculating the t-statistic, you need to ensure you have two independent samples from two different groups or populations. Also, formulate your null hypothesis (H0) stating that there is no ...