ERRORS IN ANALYSIS Flashcards

1
Q

Analytical results are often used in the diagnosis of
disease, in the assessment of hazardous wastes and
pollution, in the solving of major crimes, and in the
quality control of industrial products. Errors in these
results can have serious personal and societal
effects.

A

ERRORS IN THE LABORATORY

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

TYPES OF ERRORS

A

DETERMINATE OR SYSTEMATIC ERROR

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

errors that can be determined or eliminated.
It affects the accuracy of results.

A
  1. DETERMINATE OR SYSTEMATIC ERROR
  2. INDETERMINATE OR RANDOM ERROR
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

have a definite value, an
assignable cause, and are of the same
the magnitude for replicate measurements made in
the same way. They lead to bias in measurement
results.

A

Systematic errors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

have a definite value, an
assignable cause, and are of the same
the magnitude for replicate measurements made in
the same way. They lead to bias in measurement
results.

A

Systematic errors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

the deviation from the target value.
- measures the systematic error
associated with an analysis. It has a
negative sign if it causes the results to be
low and a positive sign

otherwise

A

Bias

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

TYPES OF SYSTEMATIC ERRORS:

A

INSTRUMENTAL ERRORS, METHOD ERRORS, METHOD ERRORS

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

errors that cannot be determined or
controlled. It affects precision.

A

INDETERMINATE OR RANDOM ERROR

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Random errors are the cumulative effect of
many small, uncontrollable variables and
personal judgments that lead to uncertainty in
a measured value.

A

INDETERMINATE OR RANDOM ERROR

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Presence of bubbles in one of the
trials, presence of bubbles in the reading in the
instruments, microclots in a plasma due to
particulate matter

A

INDETERMINATE OR RANDOM ERROR

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

A volumetric flask or pipette was graduated
at 20oC and used at 25oC.

A

INSTRUMENTAL ERRORS

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

In gravimetric method, if precipitate is not
sufficiently insoluble, a weight is less than the
correct one.

A

METHOD ERRORS

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Color blindness is a good example of a
limitation that could cause a personal error in a
volumetric analysis.

A

PERSONAL ERRORS

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

EEFECTS OF SYSTEMATIC ERRORS:

A

CONSTANT ERRORS, PROPORTIONAL ERRORS,

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

errors that are independent of the size of the
sample being analyzed.

A

CONSTANT ERRORS

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Here the value of absolute error is constant with
sample size, but the relative error varies when the
sample size is changed

A

CONSTANT ERRORS

16
Q

loss on the amount of precipitate due to large
amount of liquid.

A

CONSTANT ERRORS

17
Q

Presence of contaminants does not depend
on the size of the sample

A

PROPORTIONAL ERRORS

18
Q
  • errors that decrease or increase in proportion to the
    size of the sample.
A

PROPORTIONAL ERRORS

19
Q

Here the value of absolute error varies with sample
size, but the relative error stays constant when the
sample size is changed.

A

PROPORTIONAL ERRORS

20
Q

It is impossible to have a perfect chemical analysis,
one that is free from errors and uncertainties

A

QUANTIFYING EXPERIMENTAL METHODS

21
Q

Does that mean your results are unreliable? So, what
do you do?

A

QUANTIFYING EXPERIMENTAL METHODS

22
Q

 Evaluate the error
- Where did it come from? How?
Perform same procedure from known values
 Compare from standard values
 Calibration of equipment
 Statistical treatments

A

BASIC STATISTICAL TREATMENT

23
Q

In order to improve the reliability and to obtain
information about the variability of results, two to five
portions (replicates) of a sample are usually carried
through an entire analytical procedure.

A

BASIC STATISTICAL TREATMENT

24
Q

________are samples of about the same size
that are carried through an analysis in exactly the
same way.

A

Replicates

25
Q

Individual results from a set of measurements are
seldom the same, so we usually consider the____________
estimate to be the central value for the set.

A

“best”