Respuesta :
Answer: Last option
[tex]Z_ {13} = 0.5,\ Z_ {17} = 2.5[/tex]
Step-by-step explanation:
The z-scores give us information about how many standard deviations from the mean the data are. This difference can be negative, if the data are n deviations to the left of the mean, or it can be positive if the data are n deviations to the right of the mean.
To calculate the Z scores, we calculate the difference between the value of the data and the mean and then divide this difference by the standard deviation.
so
[tex]Z = \frac{x- \mu}{\sigma}[/tex].
Where x is the value of the data, μ is the mean and σ is the standard deviation
In this case :
μ = 12 $/h
[tex]\sigma[/tex] = 2 $/h
We need to calculate the Z-scores for [tex]x = 17[/tex] and [tex]x = 13[/tex]
Then for [tex]x = 17[/tex]:
[tex] Z_{17} = \frac{17-12}{2}[/tex].
[tex] Z_{17} = 2.5[/tex]
Then for [tex]x = 13[/tex]:
[tex]Z_{13} = \frac{13-12}{2}[/tex].
[tex]Z_{13} = 0.5[/tex]
Therefore the answer is:
[tex]Z_ {13} = 0.5,\ Z_ {17} = 2.5[/tex]