[3 pts] 4. Consider the following scenarios. Decide whether a Type I or Type II error is occurring and identify the type of bias that may have contributed to the error. Each type of bias will only be used once: availability bias, confirmation bias, historical bias, selection bias, survivorship bias. a. Researchers are studying the effectiveness of a new biopesticide on crop yields, and the team strongly believes that it will increase crop yields. The researchers conduct a one-sided test and conclude that the biopesticide does not significantly affect crop yields, despite several farmers in tropical climates reporting decreased yields while using the biopesticide. ☐ Type I ☐ Type II Type of bias: b. In a test to determine whether a vaccine was causing blood clots, the sample did not include additional potential causative factors correlated with the patient's risk of developing blood clots. The analysis found the vaccine caused blood clots. Type I Type II Type of bias: C. A consulting firm is evaluating the effectiveness of flood resilience strategies in a local business district. One year after a major flooding event, they survey the remaining businesses that are operating in the district. The firm concludes that the flood resilience strategies are effective, noting that all the operating businesses did not experience major flood damage and have remained open. ☐ Type I Type II Type of bias: 2
[3 pts] 4. Consider the following scenarios. Decide whether a Type I or Type II error is occurring and identify the type of bias that may have contributed to the error. Each type of bias will only be used once: availability bias, confirmation bias, historical bias, selection bias, survivorship bias. a. Researchers are studying the effectiveness of a new biopesticide on crop yields, and the team strongly believes that it will increase crop yields. The researchers conduct a one-sided test and conclude that the biopesticide does not significantly affect crop yields, despite several farmers in tropical climates reporting decreased yields while using the biopesticide. ☐ Type I ☐ Type II Type of bias: b. In a test to determine whether a vaccine was causing blood clots, the sample did not include additional potential causative factors correlated with the patient's risk of developing blood clots. The analysis found the vaccine caused blood clots. Type I Type II Type of bias: C. A consulting firm is evaluating the effectiveness of flood resilience strategies in a local business district. One year after a major flooding event, they survey the remaining businesses that are operating in the district. The firm concludes that the flood resilience strategies are effective, noting that all the operating businesses did not experience major flood damage and have remained open. ☐ Type I Type II Type of bias: 2
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![[3 pts]
4. Consider the following scenarios. Decide whether a Type I or Type II error is occurring and identify the type of
bias that may have contributed to the error. Each type of bias will only be used once: availability bias, confirmation
bias, historical bias, selection bias, survivorship bias.
a. Researchers are studying the effectiveness of a new biopesticide on crop yields, and the team strongly believes
that it will increase crop yields. The researchers conduct a one-sided test and conclude that the biopesticide
does not significantly affect crop yields, despite several farmers in tropical climates reporting decreased yields
while using the biopesticide.
☐ Type I
☐ Type II
Type of bias:
b. In a test to determine whether a vaccine was causing blood clots, the sample did not include additional
potential causative factors correlated with the patient's risk of developing blood clots. The analysis found the
vaccine caused blood clots.
Type I
Type II
Type of bias:
C.
A consulting firm is evaluating the effectiveness of flood resilience strategies in a local business district. One
year after a major flooding event, they survey the remaining businesses that are operating in the district. The
firm concludes that the flood resilience strategies are effective, noting that all the operating businesses did not
experience major flood damage and have remained open.
☐ Type I
Type II
Type of bias:
2](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2c27c061-d16a-4075-8bdf-3e6d2b43249c%2F60b1f9be-b683-43a5-a87e-63b79069b326%2Fwonhr7p_processed.jpeg&w=3840&q=75)
Transcribed Image Text:[3 pts]
4. Consider the following scenarios. Decide whether a Type I or Type II error is occurring and identify the type of
bias that may have contributed to the error. Each type of bias will only be used once: availability bias, confirmation
bias, historical bias, selection bias, survivorship bias.
a. Researchers are studying the effectiveness of a new biopesticide on crop yields, and the team strongly believes
that it will increase crop yields. The researchers conduct a one-sided test and conclude that the biopesticide
does not significantly affect crop yields, despite several farmers in tropical climates reporting decreased yields
while using the biopesticide.
☐ Type I
☐ Type II
Type of bias:
b. In a test to determine whether a vaccine was causing blood clots, the sample did not include additional
potential causative factors correlated with the patient's risk of developing blood clots. The analysis found the
vaccine caused blood clots.
Type I
Type II
Type of bias:
C.
A consulting firm is evaluating the effectiveness of flood resilience strategies in a local business district. One
year after a major flooding event, they survey the remaining businesses that are operating in the district. The
firm concludes that the flood resilience strategies are effective, noting that all the operating businesses did not
experience major flood damage and have remained open.
☐ Type I
Type II
Type of bias:
2
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