Errors, Random Errors, and Statistical Data in Chemical Analyses Part 2 [Sir Jameson PPT] Flashcards

1
Q

The random, or indeterminate, errors in the results of an analysis can be evaluated by the __________.

A

methods of statistics.

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2
Q

Ordinarily, statistical analysis of analytical data is based on the assumption that ________ follow a Gaussian, or normal, distribution

A

random errors

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3
Q

Sometimes analytical data depart seriously from Gaussian behavior, but the ____________ is the most common.

A

normal distribution

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4
Q

a finite number of experimental observations

A

sample of data

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5
Q

Statisticians call the theoretical infinite number of data

A

population

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6
Q

must be modified substantially when applied to
a small sample because a few data points may not be representative of the population.

A

Statistical laws

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7
Q

The equation contains just two parameters

A

the population mean μ
population standard deviation σ

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8
Q

is a measure of the precision or scatter of a population of data, which is given by the equation

A

The Population Standard Deviation (σ)

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9
Q

The square of the standard deviation σ2.

A

Variance

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10
Q

A normal error curve has several general properties:

A

1) the mean occurs at the central point of maximum frequency;

2) there is a symmetrical distribution of positive and negative deviations about
the maximum;

3) there is an exponential decrease in frequency as the magnitude of the
deviations increases.

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11
Q

The quantity N — 1 is

A

the number of degrees of freedom.

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12
Q

Another term to describe the precision of a set of replicate results

A

Spread or Range (w)

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13
Q

– It is the difference between the largest value in the set and the
smallest

A

Spread or Range (w)

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14
Q

One of the best ways of indicating reliability is to give a ___________ at the 90% or 95% confidence level.

A

confidence interval

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15
Q

define a numerical interval around that
contains μ with a certain probability.

A

Confidence limits

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16
Q

is the numerical magnitude of the
confidence limit.

A

confidence interval

17
Q

is a result that is quite different from the others in the data set and might be due to a gross erro

A

outlier

18
Q

An outlier is a result that is quite different from the others in the data set and might be due to a _______

A

gross error

19
Q

It is important to develop a ______to decide whether to __________ the outlying data point.

A

criterion
retain or reject

20
Q

It is a simple, widely used statistical test for deciding whether
a suspected result should be retained or rejected

A

Q Test

21
Q

a plot of instrument response versus known analyte concentrations is used to produce a

A

calibration curve

22
Q

it provides the means for objectively obtaining such a line and also for specifying the uncertainties associated with its subsequent use

A

regression analysis

23
Q

The vertical deviation of each point from the straight line is

A

residual.