In Maths, Statistics is a concept which deals with research and analysis of numerical data. We can consider hypothesis when we are not provided with accurate data sets. Basically, there are two types of hypotheses. They are the Null Hypothesis and Alternative Hypothesis. A hypothesis is a consideration or theory based on inadequate evidence that confers itself to advance testing and experimentation. With additional testing, a prediction can generally be demonstrated as true or false. In this article, we are going to learn what is null hypothesis in statistics? null hypothesis formula, symbol, the difference between the null hypothesis and alternative hypothesis and examples in detail.
Table of Contents:
What is Null Hypothesis in Statistics?
A null hypothesis is a theory that assumes there is no statistical importance between the two variables in the hypothesis. It is the assumption that the researcher is seeking to expose. For example, there is no statistically meaningful relationship between the type of water fed to the plants and growth of the plants. A researcher is questioned by the null hypothesis and normally wants to deny it, to illustrate that there is a statistically vital relationship between the two variables in the hypothesis.
Learn in detail about Null Hypothesis here.
The null hypothesis is sometimes rejected too. If this assumption is rejected, it means that analysis could be unreasonable. Many researchers will ignore this hypothesis as it is slightly opposite to the alternative hypothesis. It is a better method to create a theory and test it. The aim of researchers is not to discard the hypothesis. But it is proof that a certain statistical model is always connected with the failure to decline the null hypothesis.
In statistics, the symbol of the null hypothesis is denoted by, H0, i.e., letter H with subscript ‘0’ (zero). It is referred to as H-null or H-zero or H-nought. Whereas, the alternative hypothesis represents the observations defined by the non-random condition. It is represented by H1 or Ha.
Null hypothesis formula:
H0: p = p0
p=mean of population 1
p0=mean of population 2
Alternative hypothesis formula is:
Ha : p ≠ p0 (p >p0)
Test static formula is:
Null and Alternative hypothesis
Alternative hypothesis defines there is a statistically meaningful relationship between two quantities or variables. Whereas null hypothesis states, there is no statistical correlation between the two variables.
The conclusions of null hypothesis are the outcome of possibility and the result of the alternative hypothesis is the outcome of real effect.
Examples of Null Hypothesis
- There could be the possibility of getting deceased by typhoid but not 100%.
- There is no age limit to using mobile phones to access the internet.
- Having an apple a day does not ensure that we would not get a fever, but it helps to boost immunity to fight against the disease.
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Frequently Asked Questions on What is Null Hypothesis
What is null hypothesis in Statistics?
The null hypothesis is one of the types of hypotheses in Statistics which proposes that there is no relationship between certain characteristics of a population.
Why is the null hypothesis important?
The null hypothesis is important because it helps us to conclude whether or not there is a relationship between two measured phenomena.
What is the difference between the null hypothesis and alternative hypothesis?
Alternative hypothesis describes that there is a statistically meaningful relationship between two quantities or variables. Whereas the null hypothesis states that there is no statistical correlation between the two variables.
What is the symbol used for the null hypothesis?
The symbol used for the null hypothesis is H0 and it is pronounced as H-null or H-zero or H-nought.
What is the symbol used for the alternative hypothesis?
The symbol used for the alternative hypothesis is Ha or H1.