Chapter 10: : Precision and Accuracy of Chemical Analyses Flashcards

1
Q

Measurement data can only give us an ____ of the “true” value

A

Estimate

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2
Q

In order to improve the reliability and to obtain information about the variability of results

A

Replicates

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3
Q

How many replicates are usually needed to carried out an entire analytical procedure

A

Several (often two to five) portions (replicates)

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4
Q

The best estimate of the true value

A

Central value for the set

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5
Q
  • The most widely used measure of central value
  • also called the arithmetic mean or the average
A

Mean

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6
Q

is the middle result when replicate data are arranged in increasing or decreasing order

A

Median

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7
Q

indicates the closeness of the measurement to the true or accepted value and is expressed by the error

A

Accuracy

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8
Q

is a measure of how close a series of measurements are to one another

A

Precision

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9
Q

Three terms widely used to describe the precision

A
  • standard deviation
  • variance
  • coefficient of variation
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10
Q

the difference between the experimental value and the accepted value.

A

Error

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11
Q

is the correct value based on reliable references

A

Accepted value

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12
Q

is the value measured in the lab.

A

Experimental value

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13
Q

Error formula

A

Error= Experimental value - accepted value

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14
Q

where xi is a measurement of the quantity and xt is the true or accepted value of the quantity.

A

Absolute error

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15
Q

Absolute error formula

A

E= xi - xt

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16
Q
  • often a more useful quantity than the absolute error
  • also expressed in parts per thousand (ppt)
A

Relative error

17
Q

Relative error formula:

A

Er = xi-xt/xt x 100

18
Q

Types of errors in experimental data

A
  • Random
  • Systematic
  • Gross error
19
Q

also known as inderterminate error
- causes data to be scattered more or less symmetrically around a mean value
- usually small in values and not avoidable

A

Random error

20
Q
  • also known as determinate error
  • causes the mean of a data set to differ from the accepted value
A

Systematic error

21
Q

Examples of systematic error

A
  • Miscalibration of pH meter
  • Miscalibration of analytical balance
  • Evaporation of liquids
  • Spattering chemicals
22
Q

differ from indeterminate and determinate errors

A

Gross error

23
Q

are often the product of human errors

A

Gross error

24
Q

Gross errors lead to ___

A

Outliers

25
Q

results that appear to differ markedly from all other data in a set of replicate measurements.

A

Gross errors lead to outliers

26
Q
  • have a definite value
  • Have an assignable cause
A

Systematic errors

27
Q

Systematic errors may be either ____ or ____

A

Constant of proportional

28
Q
  • The absolute error is
    constant with sample size
    -The relative error varies when the sample size is changed.
A

Constant error

29
Q

increase or decrease according to the size of the sample taken for analysis

A

Proportional errors

30
Q
  • the absolute error varies with sample size
  • relative error stays constant when the sample size is changed
A

Proportional errors

31
Q

Example of proportional error

A

Measured amount of water in a bucket by filling beakers. If the beaker is 5% smaller, you final volume will be off by 5%

32
Q

Detection of systematic: Intrument and personal errors

A
  • Periodic calibration of equipment
  • Careful, discipline laboratory work
33
Q

Detection of systematic: Method errors

A
  • Analysis of Standard Samples (or SRMs)
  • Blank determination
  • Variation of sample size
34
Q

are materials that contain one or more analytes at known concentration levels

A

SRMs (Standard Reference Materials)

35
Q

contains the reagents and solvents used in a determination but no analyte

A

A blank

36
Q

many of the sample constituents are added to simulate the analyte environment, which is called

A

Sample matrix

37
Q

As the size of a measurement increases, the effect of a constant error decreases

A

Variation of Sample size

38
Q

contains the solvent and all the reagents in an analysis

A

Blank solution

39
Q

refers to the collection of all the constituents in the sample.

A

Matrix