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Null Hypothesis

Updated on March 16, 2023

Null Hypothesis refers to the existence of no relationship between two sets of data or processes being analysed. Under the null hypothesis, the basic assumption is a zero relationship between the independent and the dependent variable. And if there is any relationship in the outcome of the two data sets, it is on account of a sampling error or due to chance. This hypothesis is used to determine if there is actually any relationship between the occurrence of two events or phenomena and if they occurred due to chance or by manipulation of certain data points. This type of hypothesis is used to either accept or reject the relationship between two variables and then proceed to subsequent analysis to establish the research.