Explain how null and alternative hypothesis differs


Can you explain to me how the null and alternative hypothesis for one-sample testing differs from two-sample testing; and explain how these two hypothesis' are the same. Please provide a numerical example:

Ho: µ1 ≥µ2 Ho: µ2 ≤µ1
H1: µ1 <µ2 H1: µ2 >µ1

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Basic Statistics: Explain how null and alternative hypothesis differs
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