Alternative hypothesis

From WikiMD.org
Jump to navigation Jump to search

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

Esculaap.svg

This WikiMD dictionary 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