Weegy: uman error User: Which type of error occurs because we do not obtain complete information about a population?
Lurking variable error
Non-sampling error
Human error
Sampling error
Weegy: statistics, a Type I error is the rejection of a potentially true null hypothesis. A Type II error is the failure to reject a false null hypothesis.[1] A type I error is a false positive. [ Usually a type I error leads one to conclude that a thing or relationship exists when really it doesn't: for example, that a patient has a disease being tested for when really the patient does not have the disease, or that a medical treatment cures a disease when really it doesn't. A type II error is a false negative. 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; or a clinical trial of a medical treatment failing to show that the treatment works when really it does.[2] ] (More)

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