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What is the difference between Type 1 error and Type 2 error? Explain briefly with examples. |
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Answer» Response: A type I error is the incorrect rejection of a true null hypothesis. Typically, a type I error leads one to conclude that a SUPPOSED effect or relationship exists when in fact it doesn't. Examples of type I errors include a test that shows a patient to have a DISEASE when in fact the patient does not have the disease, a fire alarm GOING on indicating a fire when in fact there is no fire, or an experiment indicating that a medical TREATMENT should cure a disease when in fact it does not.
Examples of type II errors would be a blood test failing to detect the disease it was designed to detect, in a patient who REALLY has the disease; a fire breaking out and the fire alarm does not ring; or a clinical trial of a medical treatment failing to show that the treatment works when really it does. Type II error refers to “false negative”. |
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