A statistical hypothesis test is a method of making decisions using data from a scientific study. In statistics, a result is called statistically significant if it has been predicted as unlikely to have occurred by chance alone, according to a pre-determined threshold probability, the significance level. The phrase “test of significance” was coined by statistician Ronald Fisher.
You may also like
About the author
Information to enrich your life.
WELCOME TO RICHTOPIA
- 2,565,696 all-time users
- 11 Amazing Examples of Disruptive Technology
- British Entrepreneurs Top 100: From Richard Branson to J.K. Rowling, These Are the Most Influential Entrepreneurs in the UK
- 17 Great Examples of Effective Leadership and Strategy
- What Is Social Marketing? And How Does It Work?
- Economists Top 100: From Joseph Stiglitz to Michael Porter, These Are the Most Influential Economists in the World
- Amy Cuddy: Profile of a Body-Language Hacker (Including Top 10 Tips)
- Workplace Culture: How to Encourage Collaboration
- Business Journalists Top 250: From Henry Blodget to James Altucher, These Are the Most Influential Biz Journalists in the World
- Analytical Thinking: 8 Natural Talents Leading to Action