Types of Alternative Hypothesis
There are a few types of alternative hypothesis that we will see:
1. One-tailed test H1: A one-tailed alternative hypothesis focuses on only one region of rejection of the sampling distribution. The region of rejection can be upper or lower.
- Upper-tailed test H1: Population characteristic > Hypothesized value
- Lower-tailed test H1: Population characteristic < Hypothesized value
2. Two-tailed test H1: A two-tailed alternative hypothesis is concerned with both regions of rejection of the sampling distribution.
3. Non-directional test H1: A non-directional alternative hypothesis is not concerned with either region of rejection; rather, it is only concerned that null hypothesis is not true.
4. Point test H1: Point alternative hypotheses occur when the hypothesis test is framed so that the population distribution under the alternative hypothesis is a fully defined distribution, with no unknown parameters; such hypotheses are usually of no practical interest but are fundamental to theoretical considerations of statistical inference and are the basis of the Neyman–Pearson lemma.
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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