How do you calculate a z-score?

Answer 1

#z=(x-barx)/sigma#

#z=(x-barx)/sigma#

Where -

#z# is standard normal variate #x# is an observation #barx# is mean
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Answer 2

To calculate a z-score for a given data point ( x ), you use the formula:

[ z = \frac{x - \mu}{\sigma} ]

Where:

  • ( x ) is the data point you want to calculate the z-score for.
  • ( \mu ) is the mean of the data set.
  • ( \sigma ) is the standard deviation of the data set.

You subtract the mean from the data point, and then divide by the standard deviation. This gives you the number of standard deviations the data point is away from the mean.

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Answer from HIX Tutor

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

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