Answer:
[tex]t=\frac{18.7-20}{\frac{5}{\sqrt{80}}}=-2.326[/tex]
[tex]df=n-1=80-1=79[/tex]
[tex]p_v =P(t_{(79)}<-2.326)=0.0113[/tex]
Step-by-step explanation:
Information given
[tex]\bar X=18.7[/tex] represent the sample mean for the content of active ingredient
[tex]s=5[/tex] represent the sample standard deviation for the sample
[tex]n=80[/tex] sample size
[tex]\mu_o =20[/tex] represent the value that we want to test
t would represent the statistic
[tex]p_v[/tex] represent the p value for the test
System of hypothesis
We need to conduct a hypothesis in order to check if the true mean for the active agent is at least 20 mg, the system of hypothesis would be:
Null hypothesis:[tex]\mu \geq 20[/tex]
Alternative hypothesis:[tex]\mu < 20[/tex]
The statistic would be:
[tex]t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}[/tex] (1)
Now we can calculate the statistic:
[tex]t=\frac{18.7-20}{\frac{5}{\sqrt{80}}}=-2.326[/tex]
P value
The degrees of freedom are calculated like this:
[tex]df=n-1=80-1=79[/tex]
Since is a one left tailed test the p value would be:
[tex]p_v =P(t_{(79)}<-2.326)=0.0113[/tex]