Alternative hypothesis
Alternative Hypothesis
The Alternative Hypothesis (pronounced: al-ter-na-tive hy-po-thesis) is a key concept in Statistics and Research Methodology. It is often contrasted with the Null Hypothesis.
Etymology
The term 'Alternative Hypothesis' is derived from the Latin word 'alternativus', meaning 'one or the other', and the Greek word 'hypothesis', meaning 'to put under' or 'to suppose'.
Definition
The Alternative Hypothesis is a statement that suggests a potential outcome that the researcher may expect in an experiment or study. This hypothesis cannot be tested directly; instead, it is tested indirectly by the rejection of the Null Hypothesis. The Alternative Hypothesis assumes that there is a relationship between two sets of observations or variables.
Related Terms
- Null Hypothesis: The Null Hypothesis is a statistical hypothesis that assumes that the observation results from chance or a random process. It is the hypothesis that the researcher tries to disprove, reject or nullify.
- Statistical Significance: Statistical Significance is a determination by an analyst that the results in the data are not explained by chance alone.
- P-value: The P-value is a statistical measure that helps scientists determine whether their hypotheses are correct.
- Type I and Type II Errors: Type I and Type II Errors are potential errors in statistical hypothesis testing.
See Also
External links
- Medical encyclopedia article on Alternative hypothesis
- Wikipedia's article - Alternative hypothesis
This WikiMD article is a stub. You can help make it a full article.
Languages: - East Asian
中文,
日本,
한국어,
South Asian
हिन्दी,
Urdu,
বাংলা,
తెలుగు,
தமிழ்,
ಕನ್ನಡ,
Southeast Asian
Indonesian,
Vietnamese,
Thai,
မြန်မာဘာသာ,
European
español,
Deutsch,
français,
русский,
português do Brasil,
Italian,
polski