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Null & Alternative Hypotheses | Definitions, Templates & Examples - Scribbr
https://www.scribbr.com/statistics/null-and-alternative-hypotheses/
WebMay 6, 2022 · The null and alternative hypotheses are two competing claims that researchers weigh evidence for and against using a statistical test: Null hypothesis (H0): There’s no effect in the population. Alternative hypothesis (Ha or H1): There’s an effect in the population.
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Alternative hypothesis - Wikipedia
https://en.wikipedia.org/wiki/Alternative_hypothesis
WebThe statement that is being tested against the null hypothesis is the alternative hypothesis. Alternative hypothesis is often denoted as H a or H 1. In statistical hypothesis testing, to prove the alternative hypothesis is true, it should be shown that the data is contradictory to the null hypothesis. Namely, there is sufficient evidence ...
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What is an Alternative Hypothesis in Statistics? - Statology
https://www.statology.org/alternative-hypothesis/
WebDec 9, 2020 · Alternative hypothesis (HA): The sample data suggests that the assumption made in the null hypothesis is not true. In other words, there is some non-random cause influencing the data. Types of Alternative Hypotheses. There are two types of alternative hypotheses: A one-tailed hypothesis involves making a “greater than” or “less than ” statement.
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9.1: Null and Alternative Hypotheses - Statistics LibreTexts
https://stats.libretexts.org/Courses/Penn_State_University_Greater_Allegheny/STAT_200%3A_Introductory_Statistics_(OpenStax)_GAYDOS/09%3A_Hypothesis_Testing_with_One_Sample/9.01%3A_Null_and_Alternative_Hypotheses
WebAug 5, 2021 · 9.1: Null and Alternative Hypotheses. Last updated. Aug 5, 2021. Page ID. OpenStax. The actual test begins by considering two hypotheses. They are called the null hypothesis and the alternative hypothesis. These hypotheses contain opposing viewpoints.
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9.1 Null and Alternative Hypotheses - Statistics | OpenStax
https://openstax.org/books/statistics/pages/9-1-null-and-alternative-hypotheses
WebH a —, the alternative hypothesis: a claim about the population that is contradictory to H 0 and what we conclude when we reject H 0. Since the null and alternative hypotheses are contradictory, you must examine evidence to decide if you have enough evidence to reject the null hypothesis or not.
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