Graphing in Chemistry (DP IB Chemistry)
Revision Note
Graphing in Chemistry
Sketch graphs
Sketch graphs are a way to represent qualitative trends where the variables shown are often proportional or inversely proportional
Sketch graphs do not have scales or data points, but they must have labels as these examples from the Gas Laws show:
Sketch graphs of Boyle's Law
Sketched graphs show relationships between variables
Graphical Relationships
In the first sketch graph above you can see that the relationship is a straight line going through the origin
This means as you double one variable the other variable also doubles so we say the independent variable is directly proportional to the dependent variable
The second sketched graph shows a shallow curve which is the characteristic shape when two variables have an inversely proportional relationship
The third sketched graph shows a straight horizontal line, meaning as the independent variable (x-axis) increases the dependent variable does not change or is constant
Worked Example
Which graph shows the correct relationship between the number of moles of a gas, n, and the temperature, T, at constant pressure and volume?
Answer:
The correct option is D
The ideal gas equation is PV = nRT
If P, V and R are constant then PV / R = nT, which is a constant
n must be inversely proportional to T, which gives graph D
General guidance on drawing graphs
The types of graphs that students are expected to be able to draw include:
Bar charts
Histograms
Scatter graphs
Line / curve graphs
Graphs need to have:
Clear title
Labelled axes
Units on the axes
Appropriate linear scales without any jumps
This means the plotted graph must occupy at least half or more of the sheet or grid
A rough rule of thumb is that if you can double the scale and still fit all the points on, then your scale is not appropriate
Clearly shown data points
The most common convention is to use small crosses to show the data points
Graph of concentration versus time
Graphs must show appropriate scales, labelling and units. The independent variable usually goes on the x-axis and the dependent variable on the y-axis
Remember: The independent variable is the one you control or manipulate and the dependent variable is the one that changes as a result of your manipulation
Always draw data points in pencil as it makes it easier to make corrections and adjustments
Best Fit Lines
Students often confuse the term lines of best fit with straight lines
Lines of best fit can be straight lines or curves (just like the example above) and:
They show the trend of the data
It does not have to go through all the points, but shows the general trend
They must go through the majority of the points
Where the data is scattered the points should be evenly distributed on either side of the best fit line
Extrapolation and interpolation
Extrapolation is the term used to describe the process of extending a line of best fit
Extrapolation on a temperature correction graph
This temperature correction graph from a calorimetry investigation shows how the two best fit lines are extrapolated to find the maximum temperature rise
Interpolation is the term used to describe the process of assuming a trend line applies between two points
Extrapolation and interpolation on a graph
Interpolation uses the line of best fit within the plotted points and extrapolation extends the best fit line beyond the plotted points
Examiner Tips and Tricks
You will have to decide if the origin, point (0,0) should be included as a data point
If it does, it will be a good place to anchor the graph as it will be the most accurate data point
Other features of graphs
Gradient
The gradient of a graph can be found by:
For straight-line graphs
Draw a triangle
Then, use the equation for a straight line
For curves
Draw a tangent to the graph, using a ruler to line up against the curve at the point where the gradient is to be measured
Then, use the equation for a straight line to calculate the gradient
How to draw a tangent to a curve
Lining up a ruler against the curve is essential to drawing a tangent accurately
The triangle should be as large as possible to minimise precision errors
The equation for a straight line is y = mx + c, where:
y = dependent variable
x = independent variable
m = slope
c = y-intercept
Therefore, the gradient or slope, m = ∆y / ∆x
Changes in gradient
Graphs with curves of best fit have changing gradients
This means that multiple gradients can be calculated to show:
The progressing rate of a reaction
The effects of factors, such as concentration, on the rate of reaction
A rate kinetics graph illustrating the calculation of rates from a curve
The gradient can be found at different points on a curve. Each rate has been multiplied by 60 to convert it from minutes-1 to seconds-1
Intercepts
Intercepts are the points where a line / curve of best fit crosses an axis on a graph
The most common use of intercepts is in graphs of free energy versus temperature
Graph of free energy versus temperature for the synthesis of ammonia
The x-intercept shows the temperature when the reaction ceases to be feasible, in this case at 460 K (187 oC) and the y-intercept shows that the reaction is exothermic as the extrapolated value is approximately -46 kJ mol -1
Maxima and minima
The maxima and minima are the highest and lowest points respectively
Maxima - the gradient goes from positive to 0 to negative
Minima - the gradient goes from negative to 0 to positive
A literal application of maxima and minima is in energy profile diagrams
The energy profile diagram for H2 + Cl2 → 2HCl
Maxima represent the energy of the transition state and minima represent the energy of the reactants and products
Areas
A common use of areas of graphs in chemistry is Maxwell-Boltzmann curves
A Maxwell-Boltzmann distribution curve
The total area under the curve represents the total number of molecules / particles, while the Ea line further divides this area into particles with and without the minimum activation energy to react
Uncertainty bars
The uncertainty in a measurement can be shown on a graph as an uncertainty bar
This bar is drawn above and below the point and shows the uncertainty in that measurement
Uncertainty bars are plotted on graphs to show the absolute uncertainty of values plotted
Usually, these bars will be in the vertical direction, for y-values but they can be plotted horizontally, for x-values
The size of the uncertainty bar can be used as an indication of the amount of error / uncertainty in the measurement
Graph to show uncertainty bars
Uncertainty bars show the error / uncertainty in a specific measurement
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