The researchers think that 65% of college students will graduate with debt when, in fact, more or less than 65% of college students will graduate with debt.
Step-by-step explanation:
A Type II error is the decision not to reject the null hypothesis when, in fact, it is false. In this case, the Type II error is when the researchers think that 65% of college students will graduate with debt when, in fact, more or less than 65% will graduate with debt.
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.
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