# Khan/khan-exercises

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 Z scores 1
randRange( 65, 85 ) randRange( 2, 5 ) + randRange( 0, 1 ) * 0.5 randRangeWeighted( roundTo( 0, MEAN - STDDEV * 3 ), min( roundTo( 0, MEAN + STDDEV * 3 ), 100 ), MEAN, 0 ) roundTo( 2, ( GRADE - MEAN ) / STDDEV )
The grades on a course( 1 ) midterm at school( 1 ) are normally distributed with \mu = MEAN and \sigma = localeToFixed(STDDEV, 1).
person( 1 ) earned an GRADE on the exam.

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

ZSCORE

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

We can calculate the z-score for person( 1 )'s exam grade by subtracting the mean (\mu) from his grade and then dividing by the standard deviation (\sigma).

We can calculate the z-score for person( 1 )'s exam grade by subtracting the mean (\mu) from her grade and then dividing by the standard deviation (\sigma).