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.

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Chapter1: Starting With Matlab
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a. What is the test statistic and its distribution for the hypothesis test stated in the preamble?
X¡ – X2 – (µ1 - H2)
O T
T
t1463
V
n2
O Z =
Z ~ N (0, 1)
P(1–P)
P(1-P)
n1
n2
P - P2 – (P1 – P2)
|
Z - N (0,1)
P(1–P)
P,(1–P.)
n2
P - P
O Z
Z ~ N (0, 1)
p(1-p)
Transcribed Image Text:a. What is the test statistic and its distribution for the hypothesis test stated in the preamble? X¡ – X2 – (µ1 - H2) O T T t1463 V n2 O Z = Z ~ N (0, 1) P(1–P) P(1-P) n1 n2 P - P2 – (P1 – P2) | Z - N (0,1) P(1–P) P,(1–P.) n2 P - P O Z Z ~ N (0, 1) p(1-p)
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
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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