Null Hypothesis in Statistics
In statistical hypothesis testing, researchers begin by stating the null hypothesis, often based on theoretical considerations or previous research. The null hypothesis is then tested against an alternative hypothesis (Ha), which represents the researcher’s claim or the hypothesis they seek to support.
The process of hypothesis testing involves collecting sample data and using statistical methods to assess the likelihood of observing the data if the null hypothesis were true. This assessment is typically done by calculating a test statistic, which measures the difference between the observed data and what would be expected under the null hypothesis.
Null Hypothesis
Null Hypothesis, often denoted as H0, is a foundational concept in statistical hypothesis testing. It represents an assumption that no significant difference, effect, or relationship exists between variables within a population. It serves as a baseline assumption, positing no observed change or effect occurring. The null is the truth or falsity of an idea in analysis.
In this article, we will discuss the null hypothesis in detail, along with some solved examples and questions on the null hypothesis.
Table of Content
- What is Null Hypothesis?
- Null Hypothesis Symbol
- Formula of Null Hypothesis
- Types of Null Hypothesis
- Null Hypothesis Examples
- Principle of Null Hypothesis
- How do you Find Null Hypothesis?
- Null Hypothesis in Statistics
- Null Hypothesis and Alternative Hypothesis
- Null Hypothesis and Alternative Hypothesis Examples
- Null Hypothesis – Practice Problems
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