Anybody understand the difference between type one or type two error how do you make the difference in such a question???

A researcher is interested in comparing two local hospitals. He studies a random sample of the records of patients admitted to each hospital under a particular DRG within a designated time period. Four hypothetical scenarios are given below. The following information is provided for each scenario: the null hypothesis being tested, the decision reached by the researcher on the basis of a test of significance, and the true status of the population. For each scenario determin

Question

Anybody understand the difference between type one or type two error how do you make the difference in such a question???

A researcher is interested in comparing two local hospitals. He studies a random sample of the records of patients admitted to each hospital under a particular DRG within a designated time period. Four hypothetical scenarios are given below. The following information is provided for each scenario: the null hypothesis being tested, the decision reached by the researcher on the basis of a test of significance, and the true status of the population. For each scenario determin

anonymous · Answer

A Type 1 error is making the decision to reject the null hypothesis when it is true. The probability of making this error is the p-value.

A Type 2 error is not rejecting Ho when it is false.

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