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Hypothesis testing means, during your data analysis you assume the inferential or relation between two groups. On the basis of your grouping you test your hypothesis, if it shows any results then your hypothesis is rejected/accepted. If it shows no results then null hypothesis is rejected that means there no relation between then and vice versa.
For Example: Worker name and their qualification create a graph and then you test your hypothesis that is it related to each other or not.
Hope so you got your query.
If you any find question then feel free to ask.
Thanks.
Regards,
Engr. Azmul Haq
It is easy to remember:
If p-value is low H0 must go!