c. What is the p-value associated with the hypothesis test? O p-value = 0.0813 O p-value = 0.1283 O p-value = 0.1161 %3D O p-value 0.1405
c. What is the p-value associated with the hypothesis test? O p-value = 0.0813 O p-value = 0.1283 O p-value = 0.1161 %3D O p-value 0.1405
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
![c. What is the p-value associated with the hypothesis test?
O p-value = 0.0813
p-value
0.1283
O p-value
0.1161
O p-value
0.1405](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fca8e23ce-1481-48ac-bf5f-dcbcf919c331%2Ff7649109-2d4a-481a-b8a1-638938da5409%2Fv9nzvg8_processed.png&w=3840&q=75)
Transcribed Image Text:c. What is the p-value associated with the hypothesis test?
O p-value = 0.0813
p-value
0.1283
O p-value
0.1161
O p-value
0.1405
![2. A study for adverse reactions assigned adults at random to one of two common pain relievers (ibuprofen and
acetaminophen). It was found that out of 733 adults who were administered ibuprofen, 103 of them experienced an
adverse reaction, and out of 732 adults who were administered acetaminophen, 85 of them experienced an adverse
reaction. Let p1 denote the proportion of adults who experience an adverse reaction when taking ibuprofen and let p2
denote the proportion of adults who experience an adverse reaction when taking acetaminophen. Suppose we want to
answer the following questions.
i) Test, at the 3% level of significance, whether the proportion of adults who experience an adverse reaction when taking
ibuprofen is greater than the proportion of adults who experience an adverse reaction when taking acetaminophen.
ii) Calculate the 97% confidence interval for p1
- P2.
The table below provides the information needed to perform the hypothesis test:
Value
x1
103.0000
85.0000
733.0000
732.0000
0.1405
0.1161
0.1283
1.3961
0.0813
x2
n1
n2
p.hat.1
p. hat.2
pooled.p.hat
p.value](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fca8e23ce-1481-48ac-bf5f-dcbcf919c331%2Ff7649109-2d4a-481a-b8a1-638938da5409%2F3rpm0r9_processed.png&w=3840&q=75)
Transcribed Image Text:2. A study for adverse reactions assigned adults at random to one of two common pain relievers (ibuprofen and
acetaminophen). It was found that out of 733 adults who were administered ibuprofen, 103 of them experienced an
adverse reaction, and out of 732 adults who were administered acetaminophen, 85 of them experienced an adverse
reaction. Let p1 denote the proportion of adults who experience an adverse reaction when taking ibuprofen and let p2
denote the proportion of adults who experience an adverse reaction when taking acetaminophen. Suppose we want to
answer the following questions.
i) Test, at the 3% level of significance, whether the proportion of adults who experience an adverse reaction when taking
ibuprofen is greater than the proportion of adults who experience an adverse reaction when taking acetaminophen.
ii) Calculate the 97% confidence interval for p1
- P2.
The table below provides the information needed to perform the hypothesis test:
Value
x1
103.0000
85.0000
733.0000
732.0000
0.1405
0.1161
0.1283
1.3961
0.0813
x2
n1
n2
p.hat.1
p. hat.2
pooled.p.hat
p.value
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