Analytical Errors Flashcards

1
Q
  • Difference between a measured value and the “true” or “known” value
A

Error

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2
Q

denotes the estimated uncertainty in a measurement or experiment

A

Error

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3
Q

caused by faulty calibrations or standardizations or by random variations and uncertainties in results

A

Error

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4
Q
  • The difference between the measured value and the true value
A

Absolute error

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5
Q

Xm?

A

measured

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6
Q

Xe?

A

true

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7
Q

The absolute error divided by the true value

A

Relative Errors

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8
Q
  • May be expressed in percent, parts per thousand, or parts per million, depending on the magnitude of the result
A

relative errors

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9
Q

is reflected by its precision

A

Random Error

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10
Q
  • Indeterminate error
  • Causes data to be scattered more or less symmetrically around a mean value
A

Random error

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11
Q
  • Determinate error
  • Causes the mean of a data set to differ from the accepted value
A

systematic error

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12
Q

in a series of replicate measurements causes all the results to be too high or too low

A

systematic error

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13
Q
  • Often the product of human errors
  • Lead to outliers
A

Gross error

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14
Q

Caused by nonideal instrument behavior, by faulty calibrations, or by use under inappropriate conditions.

A

Instrumental errors

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15
Q

Arise from nonideal chemical or physical behavior of analytical systems

A

Method errors

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16
Q
  • Result from the carelessness, inattention, or personal limitations of the experimenter
  • Mainly from own judgment
A

Personal error

17
Q
  • independent of the size of the sample being analyzed
A

constant errors

18
Q
  • Decrease or increase in proportion to the size of the sample
A

proportional errors