Answer:
[tex]z=\frac{0.52 -0.64}{\sqrt{\frac{0.64(1-0.64)}{100}}}=-2.5[/tex]
The p value for this case is given by:
[tex]p_v =2*P(z<-2.5)=0.0124[/tex]
Step-by-step explanation:
Data given and notatio
n=100 represent the random sample selected
X=52 represent the shoppers stating that the supermarket brand was as good as the national brand
[tex]\hat p=\frac{52}{100}=0.52[/tex] estimated proportion of stating that the supermarket brand was as good as the national brand
[tex]p_o=0.64[/tex] is the value that we want to test
z would represent the statistic
[tex]p_v[/tex] represent the p value
System of hypothesis
We need to conduct a hypothesis in order to test the claim that the true proportion of shoppers stating that the supermarket brand was as good as the national brand is 0.64 or not, then the system of hypothesis are.:
Null hypothesis:[tex]p=0.64[/tex]
Alternative hypothesis:[tex]p \neq 0.64[/tex]
The statistic is given by:
[tex]z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}}[/tex] (1)
Calculate the statistic
The statistic is given by:
[tex]z=\frac{0.52 -0.64}{\sqrt{\frac{0.64(1-0.64)}{100}}}=-2.5[/tex]
Statistical decision
The p value for this case is given by:
[tex]p_v =2*P(z<-2.5)=0.0124[/tex]