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<h2>Answer with explanation:</h2>
We know that in statistics, the Type II error happens when the null hypothesis is false but fails to get rejected.
Given : The null hypothesis, , is: researchers claim that 65% of college students will graduate with debt.
Then , Type II error in this scenario will be when the researcher claim 65% of college students will graduate with debt is false but fails to be rejected.