It is well known that a placebo, a fake medication or treatment, can sometimes have a positive effect just because patients often expect the medication or treatment to be helpful. An article gave examples of a less familiar phenomenon, the tendency for patients informed of possible side effects to actually experience those side effects. The article cited a study in w a group of patients diagnosed with benign prostatic hyperplasia is randomly divided into two subgroups. One subgroup of size 60 received a compound of proven efficacy along with counseling that a potential side effect of the treatment is erectile dysfunction. The other subgroup of size 50 is given the same treatment without counseling. The percentage of the no counseling subgroup that reported one or more sexual side effects is 16%, whereas 40% of the counseling subgroup reported at least one sexual side effect. State and test the appropriate hypotheses at significance level 0.05 to decide whether the nocebo effect is operating here. [Note: The estimated expected number of "successes" in the no-counseling sample is a bit shy of 10, but not by enough to be of great concern (some sources use a less conservative cutoff of 5 rather than 10).] A USE SALT State the relevant hypotheses. (Use p, for the true proportion of patients experiencing one or more sexual side effects when given no counseling and p, for the true proportion of patients experiencing one or more sexual side effects when receiving counseling that a potential side effect of the treatment is erectile dysfunction.) O Ho: P1- P2 = 0 H P1-P2> 0 OHo: P1-P2= 0 H P1- P2 <0 O Hoi P1-P2 0 H P -P2 0 O Ho: P1-P2= 0 0z?d - d:"H Calculate the test statistic and P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) Z = -2.82 P-value =0.0048
It is well known that a placebo, a fake medication or treatment, can sometimes have a positive effect just because patients often expect the medication or treatment to be helpful. An article gave examples of a less familiar phenomenon, the tendency for patients informed of possible side effects to actually experience those side effects. The article cited a study in w a group of patients diagnosed with benign prostatic hyperplasia is randomly divided into two subgroups. One subgroup of size 60 received a compound of proven efficacy along with counseling that a potential side effect of the treatment is erectile dysfunction. The other subgroup of size 50 is given the same treatment without counseling. The percentage of the no counseling subgroup that reported one or more sexual side effects is 16%, whereas 40% of the counseling subgroup reported at least one sexual side effect. State and test the appropriate hypotheses at significance level 0.05 to decide whether the nocebo effect is operating here. [Note: The estimated expected number of "successes" in the no-counseling sample is a bit shy of 10, but not by enough to be of great concern (some sources use a less conservative cutoff of 5 rather than 10).] A USE SALT State the relevant hypotheses. (Use p, for the true proportion of patients experiencing one or more sexual side effects when given no counseling and p, for the true proportion of patients experiencing one or more sexual side effects when receiving counseling that a potential side effect of the treatment is erectile dysfunction.) O Ho: P1- P2 = 0 H P1-P2> 0 OHo: P1-P2= 0 H P1- P2 <0 O Hoi P1-P2 0 H P -P2 0 O Ho: P1-P2= 0 0z?d - d:"H Calculate the test statistic and P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) Z = -2.82 P-value =0.0048
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
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Incorrect answers:
-2.81,-2.82,-2.83,-2.70,-2,71,-2.74,-2.56
![It is well known that a placebo, a fake medication or treatment, can sometimes have a positive effect just because patients often expect the medication or treatment to be helpful. An
article gave examples of a less familiar phenomenon, the tendency for patients informed of possible side effects to actually experience those side effects. The article cited a study in which
a group of patients diagnosed with benign prostatic hyperplasia is randomly divided into two subgroups. One subgroup of size 60 received a compound of proven efficacy along with
counseling that a potential side effect of the treatmnent is erectile dysfunction. The other subgroup of size 50 is given the same treatment without counseling. The percentage of the no-
counseling subgroup that reported one or more sexual side effects is 16%, whereas 40% of the counseling subgroup reported at least one sexual side effect. State and test the
appropriate hypotheses at significance level 0.05 to decide whether the nocebo effect is operating here. [Note: The estimated expected number of "successes" in the no-counseling
sample is a bit shy of 10, but not by enough to be of great concern (some sources use a less conservative cutoff of 5 rather than 10).]
A USE SALT
State the relevant hypotheses. (Use p, for the true proportion of patients experiencing one or more sexual side effects when given no counseling and p, for the true proportion of
P2
patients experiencing one or more sexual side effects when receiving counseling that a potential side effect of the treatment is erectile dysfunction.)
O Ho: P1- P2 = 0
H P1- P2 > 0
%3D
OHo P1- P2 = 0
H P1- P2 <0
OH P1- P2=D0
H: P1- P2 0
OHo: P1- P2 = o
Ha P1- P2 2 0
Calculate the test statistic and P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.)
-2.82
P-value
0.0048
%3D
3:19 PM
State the conclusion in the problem context.
21°C A O
)ENG
15
a
10/11/2021
16
Type here to search
op](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F917ba0ca-c311-4497-ab5e-23b52ffbd081%2Fda4a6978-663b-4f12-8de5-77d346e701b0%2Fsnwj8zc_processed.jpeg&w=3840&q=75)
Transcribed Image Text:It is well known that a placebo, a fake medication or treatment, can sometimes have a positive effect just because patients often expect the medication or treatment to be helpful. An
article gave examples of a less familiar phenomenon, the tendency for patients informed of possible side effects to actually experience those side effects. The article cited a study in which
a group of patients diagnosed with benign prostatic hyperplasia is randomly divided into two subgroups. One subgroup of size 60 received a compound of proven efficacy along with
counseling that a potential side effect of the treatmnent is erectile dysfunction. The other subgroup of size 50 is given the same treatment without counseling. The percentage of the no-
counseling subgroup that reported one or more sexual side effects is 16%, whereas 40% of the counseling subgroup reported at least one sexual side effect. State and test the
appropriate hypotheses at significance level 0.05 to decide whether the nocebo effect is operating here. [Note: The estimated expected number of "successes" in the no-counseling
sample is a bit shy of 10, but not by enough to be of great concern (some sources use a less conservative cutoff of 5 rather than 10).]
A USE SALT
State the relevant hypotheses. (Use p, for the true proportion of patients experiencing one or more sexual side effects when given no counseling and p, for the true proportion of
P2
patients experiencing one or more sexual side effects when receiving counseling that a potential side effect of the treatment is erectile dysfunction.)
O Ho: P1- P2 = 0
H P1- P2 > 0
%3D
OHo P1- P2 = 0
H P1- P2 <0
OH P1- P2=D0
H: P1- P2 0
OHo: P1- P2 = o
Ha P1- P2 2 0
Calculate the test statistic and P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.)
-2.82
P-value
0.0048
%3D
3:19 PM
State the conclusion in the problem context.
21°C A O
)ENG
15
a
10/11/2021
16
Type here to search
op
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