Meaning of type i and type ii errors

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When testing a hypothesis, only two decisions are possible;

1. Reject the null hypothesis.

2. Fail to reject the null hypothesis.

Use the following scenarios to PROVIDE THE HYPOTHESIS and describe, the meaning of Type I and Type II errors within the scenario you selected. Provide evidence of the error. 

-A woman schedules an appointment with a doctor complaining of feeling sick. The doctor diagnoses her of being pregnant. 

-Any person, who has not smoked a single tobacco product in life, is diagnosed with lung cancer.

Reference no: EM132069394

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