EP BUSINESS STATISTICS:FIRST COURSE-ACC
8th Edition
ISBN: 9780135179802
Author: Levine
Publisher: PEARSON CO
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A psychologist is conducting a study to determine whether a new therapy is safe and effective at treating PTSD. If the null hypothesis is Ho: the new therapy is safe and effective, and the alternative hypothesis is H₁: the new therapy is not safe and effective, state the Type I and Type II errors.
When a new drug is created, the pharmaceutical company must subject it to testing before receiving the necessary permission from the Food and Drug Administration (FDA) to market the drug. Suppose the null hypothesis is "the drug is unsafe." What is the Type II Error?
a- The Type II Error would be to claim the drug is unsafe when, in fact, it is unsafe.
b- The Type II Error would be to claim the drug is unsafe when, in fact, it is safe.
c- The Type II Error would be to claim the drug is safe when, in fact, it is safe.
d- The Type II Error would be to claim the drug is safe when, in fact, it is unsafe.
In hypothesis testing if the null hypothesis is rejected,
a. no conclusions can be drawn from the test
b. the alternative hypothesis must also be rejected
c. the data must have been collected incorrectly
d. the evidence supports the alternative hypothesis
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- he mayor must make a decision whether or not to cancel school because of a threatening Habagat. What would the results be of Type I and Type II errors for the null hypothesis: The weather will remain dry? a.Type I error: weather remains dry, but school is needlessly canceled. Type II error: don’t cancel school, but Habagat will bring heavy rain. b.Type I error: don’t cancel school, but Habagat will bring heavy rain. Type II error: weather remains dry, but school is needlessly canceled. c.Type I error: cancel school, and Habagat will bring heavy rain. Type II error: don’t cancel school, and weather remains dry. d.Type I error: don’t cancel school, but Habagat will bring heavy rain. Type II error: cancel school, and the s Habagat will bring heavy rain. e.Type I error: don’t cancel school, and Habagat will bring heavy rain. Type II error: don’t cancel school, and weather remains dryarrow_forwardA group of doctors is deciding whether or not to perform an operation. Suppose the null hypothesis, H0, is: the surgical procedure will go well. Which is the error with the greater consequence?arrow_forwardCan you state the null hypothesis H0 and the alternative hypothesis H1? .arrow_forward
- When a new drug is created, the drug company must test it before receiving the necessary permission from the Food and Drug Administration (FDA) to market the drug. Suppose the null hypothesis is "the drug it's not safe." What is a type II error? explain clearly a. Concluding that the drug is safe when, in fact, it is not. b. Not concluding that the drug is safe when, in fact, it is. c. Concluding that the drug is safe when, in fact, it is. d. Not concluding that the drug is not safe when, in fact, it is not.arrow_forwardA politician believes that 60% of constituents are in favor of a particular issue. She takes a sample of 100 constituents and finds that 55 favor the issue. If you were to conduct a hypothesis test of this claim, what would be the null hypothesis?arrow_forwardThe proportion of residents in a community who recycle has traditionally been 62%. A policy maker claims that the proportion is less than 62% now that one of the recycling centers has been relocated, and the policy maker wishses to carry out a hypothesis test. State the null hypothesis H, and the alternative hypothesis H, that the policy maker would use for this test. Ho: Oarrow_forwardWhenever the null hypothesis is not rejected, the alternative hypothesis a. is also not rejected. b. is rejected. c. must be revised. d. replaces the null hypothesis.arrow_forwardIf a hypothesis test leads to the rejection of the null hypothesis, a _____. a. Type II error may have been committed b. Type I error may have been committed c. Type II error must have been committed d. Type I error must have been committedarrow_forwardThe chairperson of a psychology department suspects that some of her faculty are more popular with students than are others. There are three sections of introductory psychol- ogy, taught at 10:00 a.m., 11:00 a.m., and 12:00 p.m. by Professors Anderson, Klatsky, and Kamm. The number of students who enroll for each is Professor Anderson 32 Professor Klatsky 25 Professor Kamm 10 State the null hypothesis, run the appropriate chi-square test, and interpret the results.arrow_forwardGuilty or Innocent? In the U.S. court system, a defendant is assumed innocent until proven guilty. Suppose that you regard a court trial as a hypothesis test with null and alternative hypotheses H0: Defendant is innocentHa: Defendant is guilty. a. Explain the meaning of a Type I error.b. Explain the meaning of a Type II error.c. If you were the defendant, would you want a to be large or small? Explain your answer.If you were the prosecuting attorney, would you want ß to be large or small? Explain your answer.e. What are the consequences to the court system if you make a = 0? ß = 0?arrow_forwardSuppose you have a hypothesis test which never rejects the null hypothesis, no matter the value of the test statistic. Name a potential problem with such a test. Select one: a. There can be no problem with such a hypothesis test, this is the ideal scenario. b. Using this test would lead to making an excessive number of Type I errors. c. Using this test would lead to making an excessive number of Type II errors.arrow_forwardThe health board of a major city wants to know if people who have different types of healthcare coverage (HMO, Medicare/Medicaid, or no insurance) go to different types of hospitals (privately-funded, government-funded, or free clinic) when they are injured. Using the data below, test the null hypothesis that type of insurance does not affect which hospital type they choose. Insurance Type Private Public Free Clinic HMO 17 6 4 Medicare/Medicaid 24 30 9 No insurance 8 14 8arrow_forwardarrow_back_iosSEE MORE QUESTIONSarrow_forward_ios
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Type I and II Errors, Power, Effect Size, Significance and Power Analysis in Quantitative Research; Author: NurseKillam;https://www.youtube.com/watch?v=OWn3Ko1WYTA;License: Standard YouTube License, CC-BY