Answer:
[tex] z= \frac{2.1-1.98}{0.08}= 1.5[/tex]
And we can use the normal standard table and the complement rule and we got:
[tex]P(z>1.5)= 1-P(Z<1.5) =1- 0.933= 0.067 \approx 0.07[/tex]
And the best answer would be:
C 0.07
Step-by-step explanation:
Let X the random variable who represent the amount of soda filled in large bottles and we know this:
[tex]\mu = 1.98, \sigma =\sqrt{0.0064}= 0.08[/tex]
And we want to find this probability:
[tex] P(X> \mu +1.5 \sigma = 1.98 +1.5*0.08 =2.1)[/tex]
And for this case we can use the z score formula given by:
[tex] z=\frac{X -\mu}{\sigma}[/tex]
And replacing we got:
[tex] z= \frac{2.1-1.98}{0.08}= 1.5[/tex]
And we can use the normal standard table and the complement rule and we got:
[tex]P(z>1.5)= 1-P(Z<1.5) =1- 0.933= 0.067 \approx 0.07[/tex]
And the best answer would be:
C 0.07