Which of following is not true about Type I error? The alpha (a) level False positive Rejecting the null hypothesis when in reality it is true. O Accepting (not rejecting) the null hypothesis when in reality it is false.
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A: Answer - Which of the following is an accurate definition of a Type I error?
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- Which of following is true about Type I error? The alpha (a) level False negative Rejecting the null hypothesis when in reality it is false. Accepting (not rejecting) the nullI hypothesis when in reality it is false.Type-II error is? A. Rejecting the null hypothesis when it is actually true B. Not rejecting the null hypothesis when its actually false C. Accepting the null hypothesis when its actually false D. Rejecting the alternative hypothesis it is actually falseWhat type of error(s) occur(s) when we reject the null hypothesis when the null hypothesis is true? OA. Type 1 Error OB. Type II Error OC. Both Type I and Type II Errors OD. Neither Type I nor Type II Error
- A company that develops artificial intelligence designed to detect false statements has developed a program that police officers can use to determine whether a criminal suspect is lying or not. According to the company, the AI can detect false statements correctly 75% of the time. What are the null and alternative hypothesis for testing the claim that the AI detects false statements as claimed by the company? H0 : p = .01, Hα : p ≠ .01 H0 : p = .99, Hα : p ≠ .99 H0 : p = .25, Hα : p ≠ .25 H0 : p = .75, Hα : p ≠ .75Type I error is when you end up rejecting the null hypothesis as a result of the statistical testing, when in fact the null hypothesis is actually ____."True or False: A Type I Error is made by failing to reject the null hypothesis when the null hypothesis is actually incorrect.
- Which of the following is an example of a Type 2 error? Rejecting a false null hypothesis. Rejecting a true null hypothesis. Failing to reject a false null hypothesis. Failing to reject a true null hypothesis.What values of F indicate that the null hypothesis is true?A teacher giving a true/false test wants to make sure her students do better than they would if they were simply guessing, so she performs a hypothesis test. Her null hypothesis is that a student will get 50% of the questions on the exam correct. The alternative hypothesis is that the student is not guessing and should get more than 50% in the long run. Н,р-0.50 Н:р>0.50 Give a possible p-value for data that are not statistically significant at the 10% level.
- If a hypothesis test rejects the null hypothesis test at a = 0.05 will it also always reject the null at a = 0.01?Which is the correct null hypothesis based on this statement: People with diabetes have higher systolic blood pressure than people without diabetes? People with diabetes have lower systolic blood pressure than people without diabetes. People with diabetes have equal systolic blood pressure when compared to people without diabetes. People with diabetes have a systolic blood pressure equal to or lower than people without diabetes. None of these are a null hypothesis.Explain what it means to accept the null hypothesis?