alternative hypothesis
In statistics and hypothesis testing, an alternative hypothesis, denoted as H1 or Ha, is a statement that contradicts or goes against the null hypothesis (H0)
In statistics and hypothesis testing, an alternative hypothesis, denoted as H1 or Ha, is a statement that contradicts or goes against the null hypothesis (H0). It represents the proposition or claim that you want to test or prove.
The null hypothesis is typically the assumption that there is no significant difference or relationship between variables or conditions being studied. On the other hand, the alternative hypothesis suggests a specific difference, relationship, or effect that you expect to find in your research or experiment.
In mathematical terms, the alternative hypothesis often takes the form of an inequality, such as “μ1 > μ2” (population mean 1 is greater than population mean 2) or “p1 ≠ p2” (proportion 1 is not equal to proportion 2). However, alternative hypotheses can also be expressed in terms of equalities or other mathematical relationships, depending on the specific question being investigated.
To summarize, the alternative hypothesis is the counterpart to the null hypothesis, representing the claim or proposition you are trying to support with your data and statistical analysis. It provides a clear direction for your research and guides you in making conclusions based on the evidence obtained.
More Answers:
A Comprehensive Guide to Descriptive and Inferential Interpretations in Data AnalysisA Comprehensive Guide to Null Hypothesis Testing in Statistics
Understanding the Null Hypothesis in Statistics: Explained and Illustrated