Answer:
Z-score = -1.38
Step-by-step explanation:
The z-score measures how many standard deviations from the mean a data is
Therefore the z score is the quotient between the difference between a value and the mean and the standard deviation
[tex]Z =\frac{X-\mu}{\sigma}[/tex]
Where
μ is the mean, x is a data of the population and [tex]\sigma[/tex] is the standard deviation
In this case
[tex]\mu = 15\ g\\\\\sigma = 1.6\ g\\\\X = 17.2\ g[/tex]
Then the z-score is
[tex]Z = \frac{15-17.2}{1.6}\\\\Z = -1.38[/tex]
