In: Statistics and Probability
The manufacturer of Nex claims that over 94% of patients taking Nex are cured in 8 weeks.
We write the hypothesis as
H0: p = 0.94 Vs H1 : p > 0.94 ( we select > sign for H1 because over means More than )
n = sample size = 225
x = 214
Formula for test statistics
Test statistics = 0.701793268
p value = P ( Z < 0.701793268 )
Beacuse our test is right tailed Since H1 has > sign
P value = P ( Z > 0.701793268 )
We use excel or Ti - 84 or Ti -83 to calculate the exact p value
Excel :-
Normal distribution is symmetric distribution
P ( Z > a ) = P ( Z < - a )
P ( Z > 0.701793268 ) = P ( Z < - 0.701793268)
Now we find P ( Z < - 0.701793268 ) using excel
Select empty cell ( box ) from excel and type
=NORMSDIST( - 0.701793268 )
Do not forget to type = sign in excel
Press enter
P ( Z < - 0.701793268 ) = 0.241404049
P ( Z > 0.701793268 ) = P ( Z < - 0.701793268)
P ( Z > 0.701793268 ) = 0.241404049
P value = P ( Z > 0.701793268 )
P value = 0.241404049
Ti - 84 and TI - 83 path
Press " Stat "
select " tests "
select " 1 - PropZTest "
po = 0.94 ( Value of p from H0 )
x = 214
n = 225
Prop > p0 ( Beacuase H1 has > sign )
Select " Calculate "
and press "enter"
z = 0.701793268
p value = 0.241404049
Decision rule
1 ] p value ≤ α then we reject H0
2 ] p value > α then we do not reject H0
p value = 0.241404049 and α = 0.05.
So Decision is
p value > α then we do not reject H0
Conclusion:-
We do not reject Ho means we are supporting H0 As we are supporting H0 That means we are not supporting H1 and our claim is under H1
Conclusion :-
There is insufficient eveidence to support the claim that " over 94% of patients taking Nex are cured in 8 weeks"
I hope this will help you :)