Question

Which is more dangerous type $1$ or type $2$ error in statistics?

Answer 1

Type $1$ or Type $2$ error in statistics.

• A type $1$ error happens when the null hypothesis of an experiment is true but rejected often called a false positive.
• A type $2$ error occurs when the null hypothesis is false but still not rejected, also known as a false negative.
• Type $1$ error is considered to be worse or more dangerous than type $2$ because to reject what is true is more harmful than keeping the data that is not true.

Hence, type $1$ error is considered to be worse or more dangerous than type $2$ because to reject what is true is more harmful than keeping the data that is not true.