Question Help In a clinical​ trial, 23 out of 874 patients taking a prescription drug daily complained of flulike symptoms. Suppose that it is known that 2.1​% of patients taking competing drugs...











 Question Help







In a clinical​ trial,
23

out of
874

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
α=0.01

level of​ significance?





Because
np01−p0=nothing




not equals≠

greater than>

equals=

less than



​10,

the sample size is





less thanless than

greater thangreater than




​5% of the population​ size, and the sample





cannot be reasonably assumed to be random,

is given to be random,

can be reasonably assumed to be random,

is given to not be random,




the requirements for testing the hypothesis





are

are not




satisfied.

​(Round to one decimal place as​ needed.)

What are the null and alternative​ hypotheses?



H0​:






muμ

sigmaσ

pp







greater than>

not equals≠

less than

equals=



nothing

versus
H1​:






muμ

pp

sigmaσ







not equals≠

less than

greater than>

equals=



nothing


​(Type integers or decimals. Do not​ round.)

Find the test​ statistic,
z0.




z0=nothing

​(Round to two decimal places as​ needed.)

Find the​ P-value.



​P-value=nothing

​(Round to three decimal places as​ needed.)

Choose the correct conclusion below.







A.


Since
​P-value>α​,

do not reject

the null hypothesis and conclude that there
is not

sufficient evidence that more than
2.1​%

of the users experience flulike symptoms.






B.


Since
​P-value>α​,

reject

the null hypothesis and conclude that there
is not

sufficient evidence that more than
2.1​%

of the users experience flulike symptoms.






C.


Since
​P-value<>

do not reject

the null hypothesis and conclude that there
is

sufficient evidence that more than
2.1​%

of the users experience flulike symptoms.






D.


Since
​P-value<>

reject

the null hypothesis and conclude that there
is

sufficient evidence that more than
2.1​%

of the users experience flulike symptoms.







Jun 03, 2022
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