Patient 0 was told he was not exposed to a virus based on his swab test, but he was in fact positive. This is an example of O Type 1 Error: A false positive O Type 2 Error: A false positive Type 1 Error: A false negative O Type 2 Error: A false negative b
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- Eyeglassomatic manufactures eyeglasses for different retailers. They test to see how many defective lenses they made in a given time period and found that 10% of all lenses had defects of some type. Looking at the type of defects, they found in a three-month time period that out of 34,024 defective lenses, 5840 were due to scratches. Are there more defects from scratches than from all other causes? State the Type I and Type II errors in this case.State the Type I error. Concluding that the proportion of defects from scratches is 10%, when in reality it is less than 10%. Concluding that the proportion of defects from scratches is 10%, when in reality it is higher than 10%. Concluding that the proportion of defects from scratches is less than 10%, when the proportion is actually 10%. Concluding that the proportion of defects from scratches is higher than 10%, when the proportion is actually 10%. State the Type II error. Concluding that the proportion of defects from scratches is…Eyeglassomatic manufactures eyeglasses for different retailers. They test to see how many defective lenses they made in a given time period and found that 12% of all lenses had defects of some type. Looking at the type of defects, they found in a three-month time period that out of 34,544 defective lenses, 5865 were due to scratches. Are there more defects from scratches than from all other causes? State the Type I and Type II errors in this case. State the Type I error. Concluding that the proportion of defects from scratches is higher than 12%, when the proportion is actually 12%. O Concluding that the proportion of defects from scratches is 12%, when in reality it is less than 12%. Concluding that the proportion of defects from scratches is 12%, when in reality it is higher than 12%. O Concluding that the proportion of defects from scratches is less than 12%, when the proportion is actually 12%. State the Type II error. Concluding that the proportion of defects from scratches is…Suppose the null hypothesis, H0, is: a patient is not sick. State the Null and Alternative Hypothesis. Which type of error has the greater consequence, Type I or Type II?
- An airline wants to test the null hypothesis that 60percent of its passengers object to smoking inside the plane. Explain under what conditions they would be com-mitting a type I error and under what conditions they would be committing a type II error.If we fail to reject the null hypothesis when the alternative hypothesis is true, we have made a type Il error. type a error. correct decision. type B error. type I error.Can you please help me located the null?
- 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 falseIf we fail to reject the null hypothesis when the alternative hypothesis is true, we have made a O type a error. O type B error. O type I error. O type II error. O correct decision.An investigator wants to assess the usefulness of a certain symptom (S) in the diagnosis of a particular disease (D). In a random sample of 800 patients with the disease, 774 reported having the symptom. In an independent random sample of 1280 subjects without the disease, 17 reported having the symptom. (Hint: The symptom is the test) If the prevalence of D in the population is 0.002, what is the positive predictive index of the S? (Probability of having the disease D given that the patient had symptoms S)? What is the positive predictive value if the prevalence is 0.2?
- In an observational study it was found that people who had received the flu shot this year had better blood pressure readings, on average, than people who did not. Can it be claimed that the flu shot is the cause of the lower overall blood pressure? Why or why not?Determine both Type I and Type Il errors for the following scenario: Assume a null hypothesis that states the percentage of adults with jobs is at least 88%. (a) Identify the Type I error from these four statementss. O Reject the null hypothesis that the percentage of adults who have jobs is at least 88% when that percentage is actually less than 88% ONot to reject the null hypothesis that the percentage of adults who have jobs is at least 88% when the percentage is actually at least 88% O Reject the null hypothesis that the percentage of adults who have jobs is at least 88% when the percentage is actually at least 88% ONot to reject the null hypothesis that the percentage of adults who have jobs is at least 88% when that percentage is actually less than 88% (b) Identify the Type II error from these four statements. O Reject the null hypothesis that the percentage of adults who have jobs is at least 88% when the percentage is actually at least 88% O Reject the null hypothesiis that the…Food inspectors inspect samples of food products to see if they are safe. This can be thought of as a hypothesis test where Ho: the food is safe, and H1: the food is not safe. If you are a consumer, which type of error would be the worst one for the inspector to make, the type I or type Il error?