Alternative Hypothesis
What is Hypothesis?
A hypothesis is a statement of a relationship between two or more variables.” It is a working statement or theory that is based on insufficient evidence.
What is an Alternative Hypothesis?
Alternative hypothesis, denoted by H1, opposes the null-hypothesis. It assumes a relation between the variables and serves as an evidence to reject the null-hypothesis.
What is the Difference between Null-Hypothesis and Alternative Hypothesis?
Null hypothesis is the default claim that assumes no relationship between variables while alternative hypothesis is the opposite claim which considers statistical significance between the variables.
What is Alternative and Experimental Hypothesis?
Null hypothesis (H0) states there is no effect or difference, while the alternative hypothesis (H1 or Ha) asserts the presence of an effect, difference, or relationship between variables. In hypothesis testing, we seek evidence to either reject the null hypothesis in favor of the alternative hypothesis or fail to do so.
Alternative Hypothesis: Definition, Types and Examples
In statistical hypothesis testing, the alternative hypothesis is an important proposition in the hypothesis test. The goal of the hypothesis test is to demonstrate that in the given condition, there is sufficient evidence supporting the credibility of the alternative hypothesis instead of the default assumption made by the null hypothesis.
Alternative Hypotheses
Both hypotheses include statements with the same purpose of providing the researcher with a basic guideline. The researcher uses the statement from each hypothesis to guide their research. In statistics, alternative hypothesis is often denoted as Ha or H1.
Table of Content
- What is a Hypothesis?
- Alternative Hypothesis
- Types of Alternative Hypothesis
- Difference between Null and Alternative Hypothesis
- Formulating an Alternative Hypothesis
- Example of Alternative Hypothesis
- Application of Alternative Hypothesis
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