Graphing Data
Plotting data reveals trends, and the slope or intercept can give physical constants.
Practise Analytical, Lab & Spectroscopy All Analytical, Lab & Spectroscopy topics
Plotting data reveals trends, and the slope or intercept can give physical constants.
Practise Analytical, Lab & Spectroscopy All Analytical, Lab & Spectroscopy topics
Good graphs make trends visible and allow physical constants to be extracted quantitatively. The independent variable is plotted on the horizontal x-axis and the dependent variable on the y-axis, each axis is labelled with its quantity and units, and the scales are chosen so the data fill most of the graph area. Points are plotted clearly and a best-fit straight line is drawn through them rather than joining the points, because individual points contain scatter. The slope and intercept of a linear fit yield physical constants, and nonlinear relationships can often be linearized by plotting a transformed variable. The units of the slope must be derived from the axes to be meaningful.
Key ideas: Choose axes so the line fills the page, use the origin only if it is meaningful, and give a title. Linearize: y = mx + c forms include ln k versus 1/T (Arrhenius), 1/[A] versus t (second order), ln[A] versus t (first order), and log I versus concentration. Use least squares for the best-fit line and report slope with uncertainty. Error bars show the spread in measurements.
Common mistakes and connections: Students join dots with straight segments, force lines through the origin without reason, use unequal scale intervals or label axes without units. Choosing the wrong variable for the axis changes the meaning of the slope. Outliers should be investigated, not simply removed. A high R squared can hide curvature, so view the residuals. Related to calibration curves, kinetics and error analysis.
Plotting ln k against 1/T gives a straight line whose slope equals minus Ea/R; here Ea is 75 kJ/mol. The interactive lesson shows this as a live animation or chart.
Plotting ln k against 1/T gives a straight line whose slope equals minus Ea/R, from which the activation energy is found.
Plotting data reveals trends, and the slope or intercept can give physical constants.
Graphing Data is a beginner topic in Analytical, Lab & Spectroscopy. It needs no earlier chemistry lessons and is a good starting point.
Study these earlier topics in Analytical, Lab & Spectroscopy first: Franck-Condon Principle, Beer-Lambert Limitations, Lab Notebook Practice.
The next topics in Analytical, Lab & Spectroscopy are Laboratory Waste Disposal and Green Analytical Chemistry.
Yes. The interactive lesson includes a self-check question on Graphing Data, and the Analytical, Lab & Spectroscopy quiz draws on every topic in this area.
Graphing Data is topic 97 of 99 in Analytical, Lab & Spectroscopy.