Explain the distinction between Type I and Type II errors
What will be an ideal response?
A Type I error is falsely rejecting the null hypothesis. To commit a Type I error, the truth must be that the null hypothesis is really true and yet you conclude to reject the null and accept the alternative. A Type II error is falsely not rejecting the null hypothesis when in fact the null hypothesis is false. To make a Type II error, the null hypothesis must be false (the alternative is true) and yet you conclude not to reject the null hypothesis.
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