Analytical 2, chemometrics Flashcards
what is chemometrics
the chemical discipline that uses mathmatical and statistical methods to design or select optimal measurements and experiments. basically data production and collection
statistical population
set of all cases or measurements that are the objects of the statistical study
statistical sample
a sample is a statistically significant portion of the population
accuracy
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’)
precision
consistency between results obtained by independently subjecting identical aliquots of the same sample to the same analytical process to determine the same analyte
precise but not accurate
target—- all darts together but not near the middle
accurate but not precise
target —-darts not together but all near the middle
not accurate and not precise
target—- darts scattered around target, not together and at various distances from the middle
accurate and precise
target—- all darts together and on the middle of the target
hypothesis testing - one tailed test - when do we do it
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
hypothesis testing- two tailed test - when do we do it
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
hypothesis testing : steps
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
if we havent been told what percentage to test to in a null hypothesis we presume a significance level of…
5% aka 0.05
not rejecting h0 (t tab > t exp) implies
there is no experimental evidence to assert that xbar is significantly different from u for a given alpha value (method is accurate)
rejecting h0 (t tab < t exp) implies
that xbar is significantly different from u for a given alpha value (method is not accurate)