Question2 A type 1 error (alpha) is a what ? Select one alternative: False negative - the test says healthy when the patient is ill. Computer error -the computer used can't analsye the data. False positive - the test says 'disease but patient is healthy. Softwarwe error - the computer software has an error in the equations it is using. Reset

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Question2 A type 1 error (alpha) is a what ? Select one alternative: False negative - the test says healthy when the patient is ill. Computer error -the computer used can't analsye the data. False positive - the test says 'disease but patient is healthy. Softwarwe error - the computer software has an error in the equations it is using. Reset

BlackTom AI · Accepted Answer

The question asks about a Type I error (alpha) and what it represents in hypothesis testing.
Option 1: 'False negative - the test says healthy when the patient is ill.' A false negative describes a Type II error, not a Type I error; this mislabels the error type.
Option 2: 'Computer error -the computer used can't analsye the data.' This is a description of a machine or data-processing fault, not a statistical error type; it does not relate to alpha or hypothesis testing.
Option 3: 'False positive - the test says 'disease but patient is healthy.' This matches the definition of a Type I error: incorrectly concluding disease presence when there is none, i.e., a false positive, corresponding to alpha.
Option 4: 'Softwarwe error - the computer software has an error in the equations it is using.' This describes a software bug affecting computations, not the statistical concept of Type I error; it is not the correct terminology here.
Labels and terminology can be tricky, so it’s key to map 'false positive' to rejecting a true null hypothesis, which is exactly what alpha controls in a test.

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