2.5: Z-Scores Flashcards

1
Q

Z-Score

A

A measure of how far from the mean a data point is in units of standard deviations rather than in units of the original variable.

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2
Q

Z-Score Formula

A

(Interest Value – Mean) / Standard Deviation

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3
Q

What are z-scores helpful for?

A

Comparing across measures of different units of measurement.

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4
Q

How is z-score expressed?

A

As a standardized score; indicating where it lies on the standard normal curve.

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5
Q

How are z-scores referred to?

A

In terms of standard deviations from the mean
- initial units ignored

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6
Q

How much of the data is in 1 standard deviation?

A

68%

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7
Q

How much of the data is in 2 standard deviations?

A

95%

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8
Q

How much of the data is in 3 standard deviations?

A

99.7%

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9
Q

Standard Normal Curve

A

A theoretical normal distribution with a mean of 0 and a standard deviation of 1.

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10
Q

What does a standard normal curve have?

A

One set of parameters for a normal distribution

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11
Q

Can any normal distribution be standardized to a standard normal distribution?

A

Yes as long as you can create a mean of 0 and standard deviation of 1

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12
Q

What does a standard curve give access to?

A

Information about proportion under the curve.

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13
Q

What are two characteristics of standard curves?

A
  • Perfectly symmetrical
  • Area under the curve is 100% of data
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14
Q

What can z-scores help identify?

A

Outliers

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15
Q

When is IQR more useful than the standard deviation?

A

When there is a skewed distribution
- SD is affected by extreme values

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