Define Type I error and Type II error Explain why both falsepositive ...

Define Type I error and Type II error. Explain why both â€˜â€˜false positiveâ€™â€™ and â€˜â€˜false negativeâ€™â€™...

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Define Type I error and Type II error. Explain why both â€˜â€˜falsepositiveâ€™â€™ and â€˜â€˜false negativeâ€™â€™ should be avoided in the analysisand monitoring of environmental contaminants?

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In a statistical hypothesis testing a type 1 error is the rejection of a true null hypothesis also known as false positive it is falsely inferring the existence or reality of something that is in fact not real or does not in fact exist that means conforming to common belief with false information Examples of type 1 See Answer

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