Analytical 2, chemometrics Flashcards

1
Q

what is chemometrics

A

the chemical discipline that uses mathmatical and statistical methods to design or select optimal measurements and experiments. basically data production and collection

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2
Q

statistical population

A

set of all cases or measurements that are the objects of the statistical study

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3
Q

statistical sample

A

a sample is a statistically significant portion of the population

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4
Q

accuracy

A

consistency between the result of a detrmination xi or the mean of n results (xbar) provided by a given method and the value hels as true (x’)

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5
Q

precision

A

consistency between results obtained by independently subjecting identical aliquots of the same sample to the same analytical process to determine the same analyte

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6
Q

precise but not accurate

A

target—- all darts together but not near the middle

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7
Q

accurate but not precise

A

target —-darts not together but all near the middle

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8
Q

not accurate and not precise

A

target—- darts scattered around target, not together and at various distances from the middle

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9
Q

accurate and precise

A

target—- all darts together and on the middle of the target

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10
Q

hypothesis testing - one tailed test - when do we do it

A

to test whether a sample mean is either greater than or smaller than a certain value, but not both
eg is method a more accurate than method b

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11
Q

hypothesis testing- two tailed test - when do we do it

A

to test whether there is a significant difference bewteen the mean sample and the known value, regardless of sign or difference.
eg is there a significant difference between the mean values, are both methods accurate
what is the purity of the sample

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12
Q

hypothesis testing : steps

A

1: null hypothesis is defined. postulates that two or more observed quantities are the same
2: statistic test must be chosen ie one or two tailed test
3: significance level must be defined
4: decision rule must be set up that is based on signifcance level and distribution of test statistics
5: calulation of test statistic and decision on the decision rule must be made

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13
Q

if we havent been told what percentage to test to in a null hypothesis we presume a significance level of…

A

5% aka 0.05

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14
Q

not rejecting h0 (t tab > t exp) implies

A

there is no experimental evidence to assert that xbar is significantly different from u for a given alpha value (method is accurate)

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15
Q

rejecting h0 (t tab < t exp) implies

A

that xbar is significantly different from u for a given alpha value (method is not accurate)

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16
Q

calculation of t exp

A

t exp= l xbar- u l rootn/s

17
Q

decision rules:
if t exp> t alpha, v

A

h 0 is rejected (method not accurate, there is systematic error)

18
Q

decision rules:
if t exp< t alpha, v

A

h 0 is retained (no evidence of systematic error. accurate method)

19
Q

v in hypothesis testing equations means

A

number of degrees of freedom (n-1)