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Many consumer groups feel that the Country A drug approval process is too easy and, as a result, too many drugs are approved that are later found to be unsafe. On the other hand, a number of industry lobbyists have pushed for a more lenient approval process so that pharmaceutical companies can get new drugs approved more easily and quickly. Consider a null hypothesis that a new, unapproved drug is unsafe and an alternative hypothesis that a new, unapproved drug is safe. Complete parts (a) through (d) below. ... a. Explain the risks of committing a Type I or Type error. Choose the correct answer below. O A. A Type I error would be incorrectly approving a safe drug. A Type Il error would be incorrectly failing to approve an unsafe drug. O B. A Type l error would be incorrectly failing to approve an unsafe drug. A Type Il error would be incorrectly approving a safe drug. C. A Type l error would be incorrectly approving an unsafe drug. A Type Il error would be incorrectly failing to approve a safe drug. D. A Type l error would be incorrectly failing to approve a safe drug. A Type Il error would be incorrectly approving an unsafe drug. b. Which type of error are the consumer groups trying to avoid? Explain. Choose the correct answer below. O A. The consumer groups are trying to avoid a Type I error because they think that too many unsafe drugs are approved. O B. The consumer groups are trying to avoid a Type Il error because they think that too many unsafe drugs are approved. OC. The consumer groups are trying to avoid a Type I error because they think that too many safe drugs are unapproved. O D. The consumer groups are trving to avoid a Type |l error because they think that too many safe drugs are unapproved.

Many consumer groups feel that the Country A drug approval process is too easy and, as a result, too many drugs are approved that are later found to be unsafe. On the other hand, a number of industry lobbyists have pushed for a more lenient approval process so that pharmaceutical companies can get new drugs approved more easily and quickly. Consider a null hypothesis that a new, unapproved drug is unsafe and an alternative hypothesis that a new, unapproved drug is safe. Complete parts (a) through (d) below. ... a. Explain the risks of committing a Type I or Type error. Choose the correct answer below. O A. A Type I error would be incorrectly approving a safe drug. A Type Il error would be incorrectly failing to approve an unsafe drug. O B. A Type l error would be incorrectly failing to approve an unsafe drug. A Type Il error would be incorrectly approving a safe drug. C. A Type l error would be incorrectly approving an unsafe drug. A Type Il error would be incorrectly failing to approve a safe drug. D. A Type l error would be incorrectly failing to approve a safe drug. A Type Il error would be incorrectly approving an unsafe drug. b. Which type of error are the consumer groups trying to avoid? Explain. Choose the correct answer below. O A. The consumer groups are trying to avoid a Type I error because they think that too many unsafe drugs are approved. O B. The consumer groups are trying to avoid a Type Il error because they think that too many unsafe drugs are approved. OC. The consumer groups are trying to avoid a Type I error because they think that too many safe drugs are unapproved. O D. The consumer groups are trving to avoid a Type |l error because they think that too many safe drugs are unapproved.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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### Understanding Drug Approval in Country A The process of drug approval in Country A has raised concerns among consumer groups who believe it to be overly lenient, leading to the approval of drugs that later prove to be unsafe. Conversely, industry lobbyists advocate for even more lenient processes to expedite drug approvals. This discussion revolves around two statistical concepts: Type I and Type II errors. #### Statistical Hypotheses: - **Null Hypothesis**: A new, unapproved drug is unsafe. - **Alternative Hypothesis**: A new, unapproved drug is safe. #### a. Risks of Committing Type I or Type II Error **Choose the correct answer:** - **Option A**: Incorrectly approving a safe drug (Type I) and incorrectly failing to approve an unsafe drug (Type II). - **Option B**: Incorrectly failing to approve an unsafe drug (Type I) and incorrectly approving a safe drug (Type II). - **Option C**: Incorrectly approving an unsafe drug (Type I error) ✔️ and incorrectly failing to approve a safe drug (Type II error).
Transcribed Image Text:### Understanding Drug Approval in Country A The process of drug approval in Country A has raised concerns among consumer groups who believe it to be overly lenient, leading to the approval of drugs that later prove to be unsafe. Conversely, industry lobbyists advocate for even more lenient processes to expedite drug approvals. This discussion revolves around two statistical concepts: Type I and Type II errors. #### Statistical Hypotheses: - **Null Hypothesis**: A new, unapproved drug is unsafe. - **Alternative Hypothesis**: A new, unapproved drug is safe. #### a. Risks of Committing Type I or Type II Error **Choose the correct answer:** - **Option A**: Incorrectly approving a safe drug (Type I) and incorrectly failing to approve an unsafe drug (Type II). - **Option B**: Incorrectly failing to approve an unsafe drug (Type I) and incorrectly approving a safe drug (Type II). - **Option C**: Incorrectly approving an unsafe drug (Type I error) ✔️ and incorrectly failing to approve a safe drug (Type II error).
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