Which one is the correct answer and why?

The null hypothesis is that the observed difference is due to chance alone in a research.
Your information is incomplete. Therefore, an overview of a hypothesis will be given. A null hypothesis is a hypothesis that states that there is no relationship between two population parameters.
It should be noted that researchers reject or disprove the null hypothesis to set the stage for further experimentation or research that explains the position of interest.
The null hypothesis: H0 is the complement of the alternative hypothesis. Type I error is when we reject the null hypothesis when it is correct.
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