Chapter 10: : Precision and Accuracy of Chemical Analyses Flashcards

(39 cards)

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

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

23
Q

are often the product of human errors

24
Q

Gross errors lead to ___

25
results that appear to differ markedly from all other data in a set of replicate measurements.
Gross errors lead to outliers
26
* have a definite value * Have an assignable cause
Systematic errors
27
Systematic errors may be either ____ or ____
Constant of proportional
28
- The absolute error is constant with sample size -The relative error varies when the sample size is changed.
Constant error
29
increase or decrease according to the size of the sample taken for analysis
Proportional errors
30
- the absolute error varies with sample size - relative error stays constant when the sample size is changed
Proportional errors
31
Example of proportional error
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
Detection of systematic: Intrument and personal errors
- Periodic calibration of equipment - Careful, discipline laboratory work
33
Detection of systematic: Method errors
- Analysis of Standard Samples (or SRMs) - Blank determination - Variation of sample size
34
are materials that contain one or more analytes at known concentration levels
SRMs (Standard Reference Materials)
35
contains the reagents and solvents used in a determination but no analyte
A blank
36
many of the sample constituents are added to simulate the analyte environment, which is called
Sample matrix
37
As the size of a measurement increases, the effect of a constant error decreases
Variation of Sample size
38
contains the solvent and all the reagents in an analysis
Blank solution
39
refers to the collection of all the constituents in the sample.
Matrix