The problem of Type I and Type II errors occurs because

Question

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Decision making based on inferential statistics involves drawing conclusions about population parameters based on sample data and calculating the probability of observing the obtained results if the null hypothesis were true. Type I errors occur when the null hypothesis is rejected when it is actually true, while Type II errors occur when the null hypothesis is accepted when it is actually false. Both types of errors depend on probabilities, as they reflect the likelihood of making incorrect decisions based on sample data. The internal validity of experiments and the clarity of the null hypothesis can also affect the likelihood of Type I and Type II errors, but the main factor is the use of inferential statistics.

The Problem of Type I and Type II Errors Occurs