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Length
Meter (m)
Mass
Kilogram (kg)
Time
Seconds (s)
Temperature
Kelvin (K)
Amount of substance
Mole (mol)
Luminous intensity
Candela (cd)
Mega-
10^6 (M)
Kilo-
10³ (k)
Centi-
10^(-2) (c )
Milli-
10^(-3) (m)
Micro-
Micro-
10^(-6) (μ) (”mu”)
Nano-
10^(-9) (n)
Pico-
10^(-12) (p)
Masserini’s Main Mandate
Calculate moles= 6.023•10^(23) mol^(-1) Avogadro’s constant
Avogadro’s constant
6.023•10^(23) mol^(-1)
Formula Weight
Sum of the atomic weights of all the atoms of a species. In g/mol
Molecular Weight
In g/mol. May be used if the chemical species is a molecule (2 or more non-metals)
Molarity
M; mol/L = 1mmol/1ml
Molality
m; mol/kg = 1mmol/1g
Mass
An unchanging measure of the quantity of matter in an object
Weight
The force of attraction between an object and its surroundings (principally Earth). Because gravitational attraction varies with geographical location, an object’s weight depends on where you weigh it.
Relation between weight and mass
w=m•g
w= weight of an object
m= its mass
g= acceleration due to gravity
1 mol (in mmol)
= 1000 mmol
1 mmol (in mol)
0.001 mol
Analytical molarity
Aka. Formality, F
Specifies a recipe by which a soln is prepared
Error
Difference between accepted and measured value.
Also to describe uncertainty in the measurement
Replicates
Measurements carried out in the same way
N
Number of measurements
Mean
x
Central value, arithmetic mean, average
Sum of replicate measurements/N
Median
Middle result
x(t)
True or accepted value
Precision
Reproducibility of measurements
Closeness of results
Accuracy
Closeness of measurements to the true value
Expressed as error
Absolute error
E = x(i) (measured value) - x(t) (true value)
Can be + or -
Relative Error
E(r ) = ( (xi - xt) / xt ) •100%
Random/Indeterminate error
Affects precision
Can never be entirely eliminated
Causes data to be scattered symmetrically around a mean value
Gross errors
Large errors resulting from human error
Can be high or low
Outliers
Result from gross error
Systematic/ determinate error
Affect accuracy
Causes the mean to differ from the accepted value
Lead to biases (low value = -; high value = +)
Instrumental, method, personal