The grades on a `course( 1 )` midterm at `school( 1 )` are normally distributed with

`person( 1 )` scored

`\mu = ``MEAN`

and `\sigma = ``localeToFixed(STDDEV, 1)`

.
`GRADE`

on the exam.
Find the z-score for `person( 1 )`'s exam grade. Round to two decimal places.

A z-score is defined as the number of standard deviations a specific point is away from the mean.

```
\large{\quad z \quad = \quad
\dfrac{
```

`GRADE` - \pink{`MEAN`}}{\green{`localeToFixed(STDDEV, 1)`}}}

`\large{\quad z \quad \approx \quad `

`SOLUTION`}

The z-score is

.
In other words, `localeToFixed(ZSCORE, 2)``person(1)`'s score was

standard deviation above the mean.
In other words, `SOLUTION``person(1)`'s score was

standard deviation below the mean.
In other words, `SOLUTION``person(1)`'s score was

standard deviations above the mean.
In other words, `SOLUTION``person(1)`'s score was

standard deviations below the mean.
`SOLUTION`