A doctor is studying heights of newborn babies. The doctor uses 20 inches as a reference point. Babies in the study receive a score to show how close they are to 20 inches. A baby that is 21 inches long receives a score of +1. A baby that is 18 inches long receives a score of .

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Answer:

A baby that is 18 inches long receives a score of -2.

Step-by-step explanation:

We are given the following information in the question:

The doctor uses 20 inches as a reference point.

Mean, μ = 20 inches

We assume that the distribution of heights of newborn babies is a bell shaped distribution that is a normal distribution.

Formula:

[tex]z_{score} = \displaystyle\frac{x-\mu}{\sigma}[/tex]

A baby that is 21 inches long receives a score of +1.

Thus, we can write:

[tex]1 = \displaystyle\frac{21-20}{\sigma}\\\\\sigma = 1[/tex]

We have to find z-score for baby that is 18 inches long.

Putting x = 18, we get:

[tex]z_{score} = \displaystyle\frac{18-20}{1} = -2[/tex]

A baby that is 18 inches long receives a score of -2.

Answer:

-2 is ur answer:)

Step-by-step explanation:

hope this helps:)