Question 5A Type II error is a false 1 pointnegative.positive.attribution. assumption.
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Solution 1
A Type II error, in the context of hypothesis testing, is a false negative. This means that you accept the null hypothesis when it is actually false. In other words, you fail to detect an effect or relationship that is actually there.
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