Q22Section I (Objective (Q1–Q80))22 of 80
Statistical Inference — checking claims about Type I error
Consider the following statements: 1. A type I error of 0.05 means that 5 times out of 100, one can reject a true null hypothesis. 2. The smaller the type I error rate, the more correct is the inference. 3. Type I error is sensitive to the number of subjects in a sample. 4. Type I error is completely under the control of the experimenter. Which of the above statements is/are correct?
Pick an option to check your answer. In a mock test a wrong answer here costs 0.83 mark.