NULL HYPOTHESIS Meaning and
Definition
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A null hypothesis refers to the statistical concept used to describe the absence or lack of an effect, relationship, or difference between variables. It is a statement or assumption made before conducting a statistical test or study that assumes no significant effect exists between the variables being investigated.
In simpler terms, the null hypothesis argues that any observed result or difference between variables is due to chance or random variation, rather than a meaningful relationship or effect. It sets the baseline or default position that there is no real effect or relationship present.
The null hypothesis is often denoted as H0 and is the opposite of the alternative hypothesis (H1), which asserts that there is a significant relationship or effect between the variables.
To test the null hypothesis, researchers collect data and analyze it using statistical tests. If the statistical analysis supports rejecting the null hypothesis, it implies that there is indeed a significant relationship or effect between the variables. Conversely, if the statistical analysis fails to reject the null hypothesis, it suggests that there is no meaningful relationship or effect present in the data.
The concept of the null hypothesis plays a crucial role in scientific and statistical research as it helps researchers objectively evaluate and assess the evidence for or against the presence of a relationship or effect.
Common Misspellings for NULL HYPOTHESIS
- bull hypothesis
- mull hypothesis
- jull hypothesis
- hull hypothesis
- nyll hypothesis
- nhll hypothesis
- njll hypothesis
- nill hypothesis
- n8ll hypothesis
- n7ll hypothesis
- nukl hypothesis
- nupl hypothesis
- nuol hypothesis
- nulk hypothesis
- nulp hypothesis
- nulo hypothesis
- null gypothesis
- null bypothesis
- null nypothesis
- null jypothesis
Etymology of NULL HYPOTHESIS
The term "null hypothesis" originates from the field of statistics and was coined by Ronald Fisher, one of the pioneers of modern statistics. The word "null" in this context refers to the concept of zero or no effect. The hypothesis being tested is typically formulated as the null hypothesis, which represents the absence of a relationship or difference between variables.
The term "null hypothesis" first appeared in Fisher's book "The Design of Experiments" in 1935. Fisher used this term to describe the theory being tested against an alternative hypothesis. He introduced the concept as a fundamental part of statistical hypothesis testing, where researchers make an initial assumption of no effect before conducting statistical tests to determine if this assumption should be rejected based on the collected data.
Since then, the term "null hypothesis" has become widely used and accepted in the field of statistics and research.
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