In a clinical trial,
22
out of
869
patients taking a prescription drug daily complained of flulike symptoms. Suppose that it is known that
2.1%
of patients taking competing drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than
2.1%
of this drug's users experience flulike symptoms as a side effect at the
alpha equals 0.01α=0.01
level of significance?
Because np 0 left parenthesis 1 minus p 0 right parenthesisnp01−p0equals=nothing
▼
not equals≠
equals=
greater than>
less than<
10, the sample size is
▼
less thanless than
greater thangreater than
5% of the population size, and the sample
▼
is given to be random,
cannot be reasonably assumed to be random,
is given to not be random,
can be reasonably assumed to be random,
the requirements for testing the hypothesis
▼
are not
are
satisfied.
(Round to one decimal place as needed.)
What are the null and alternative hypotheses?
Upper H 0H0:
▼
muμ
pp
sigmaσ
▼
not equals≠
greater than>
equals=
less than<
nothing versus
Upper H 1H1:
▼
sigmaσ
muμ
pp
▼
greater than>
less than<
equals=
not equals≠
nothing
(Type integers or decimals. Do not round.)
Find the test statistic,
z 0z0.
z 0z0equals=nothing
(Round to two decimal places as needed.)
Find the P-value.
P-valueequals=nothing
(Round to three decimal places as needed.)
Choose the correct conclusion below.
A.Since
P-valuegreater than>alphaα,
rejectreject
the null hypothesis and conclude that there
is notis not
sufficient evidence that more than
2.12.1%
of the users experience flulike symptoms.
B.Since
P-valuegreater than>alphaα,
do not rejectdo not reject
the null hypothesis and conclude that there
is notis not
sufficient evidence that more than
2.12.1%
of the users experience flulike symptoms.
C.Since
P-valueless than<alphaα,
rejectreject
the null hypothesis and conclude that there
isis
sufficient evidence that more than
2.12.1%
of the users experience flulike symptoms.
D.Since
P-valueless than<alphaα,
do not rejectdo not reject
the null hypothesis and conclude that there
isis
sufficient evidence that more than
2.12.1%
of the users experience flulike symptoms.
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