Difference between Null and Alternative Hypothesis
the differences between Null Hypothesis and Alternative Hypothesis is explained in the table below:
Null Hypothesis(Ho) |
Alternative Hypothesis(Ha) |
|
---|---|---|
Definition |
A default statement that states no relationship between variables. |
A claim that assumes a relationship between variables. |
Denoted by |
Ho |
Ha or H1 |
In Research |
States a presumption made before-hand |
States the potential outcome a researcher may expect |
Symbols Used |
Equality Symbol (=, ≥, or ≤) |
Inequality Symbol (≠, <, or >) |
Example |
Experience matters in a tech-job |
Experience does not matter in a tech-job |
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.
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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