Statistical hypothesis test
- العربية
- Asturianu
- Azərbaycanca
- Български
- Català
- Čeština
- Cymraeg
- Dansk
- Deutsch
- Ελληνικά
- English
- Español
- Euskara
- فارسی
- Suomi
- Français
- Galego
- עברית
- हिन्दी
- Hrvatski
- Magyar
- Bahasa Indonesia
- Italiano
- 日本語
- Jawa
- 한국어
- ລາວ
- Lietuvių
- മലയാളം
- Nederlands
- Norsk nynorsk
- Norsk bokmål
- Polski
- پنجابی
- Português
- Română
- Русский
- සිංහල
- Српски / srpski
- Svenska
- Tagalog
- Türkçe
- Українська
- اردو
- Tiếng Việt
- 粵語
- 中文
Tools
Actions
General
Print/export
In other projects
Appearance
From Simple English Wikipedia, the free encyclopedia
The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.
A statistical hypothesis test is a method used in statistics. It helps you describe the results you get from an experiment. The hypothesis test tells you the likelihood that a specific result would happen by chance.
Statistical hypothesis tests answer the question: Assuming that the null hypothesis is true, what is the probability of getting a value which is at least as extreme as the value that was actually observed?.[1]
So, for example, if the result would only happen by chance 5% of the time, then the experimental hypothesis is supported to the 95% level.