Graphs for Pharmaceutics

Graphs

64 cards   |   Total Attempts: 188
  

Cards In This Set

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What is a graph?
A graph is simply a visual representation isllustrating how one variable changes with another variable or it is a tool used to isslustrate the relationship between two variables
A simplest way to represent this relationship between the two variables is to
draw a picture
Drawing such a picture is also the simplest way for the human mind to
correlate, remember, interpolate, and extrapolate from the perfect or real data
An additional advantage is that it ( the graph) enables
An experimenter to average out small deviations in experimental results ( non-perfect or real data) from the perfect data
Simply looking at columns X and Y (Real), it may be difficult to see the relationship between two variables. However, looking at the graph, the relationship between the two variables becomes apparent
Y vs xif there is a unit you must put itSee slide 9
There fore, a graph is a great aid to
clear thinking
It is important to note that for every graph relating two variables,
there is an equation and conversely, for every equation there is a graph
Plotting the graph from an equation is comparatively simple.
The reverse process of finding an equation to fit the graph drawn from the experimental data is more difficult, except in the case of a straight line
Certain conventions have been adopted to plot the set of data
to a graphical representation
The "y" variable, known as the dependent variable,
is always depicted on the vertical axis (ie: ordinate); while the "X" variable (Independent variable) is on the horizontal axis (abscissa).
It is said that "Y" varies with respect to 'X' and not the other way around.
In other word change in the values of the'Y' variable is the consequence of change in the values of the 'X' variable. Therefore, 'Y' is a depedent variable
See slide 13
Dependent variable, Y (unit) vs Independent variable, X (unit)
A decision as to which of the two variables is dependent can only be made by
considering the nature of the experiment
For example, the equilibrium solubility of a solute depends on the solution temperature (T);
the temperature does not depend on the solubility of a solute
Therefore, solubility would be depicted on the 'Y' axis (ie: ordinate) and
temperature on the 'X' axis (ie: abscissa)