Chemistry Department, University of Southern Maine
Guidelines for Reports, Abstracts, and Graphs
Some Good Advice
Prepare your lab report as soon as possible after the lab
meeting so that you can remember what you did and how you did it.
Working early will also give you time to ask questions if you have
problems. If you complete your lab work and clean up your bench and
equipment before the end of the period, use the remaining time to
begin your calculations. Your instructor will be available to help
you get off to a good start.
Reports
- Read each Report Form carefully to find out exactly what to
hand in for each report.
- Hand in exactly what is called for, no more, no less. -- show
your instructor that you can follow instructions precisely.
- Staple the parts together in the order requested. Do not
include cover sheets or binders.
NOTE: We accept only printed reports, not email attachments or faxes.
- If the Report Form calls for an abstract,
a graph, or an estimate of experimental
variation, consult the guidelines and examples below.
Abstract
An abstract is a brief description of the goals,
methods, and results of a lab experiment. Your
instructor will ask you to write abstracts for at least two
experiments. Follow these guidelines:
- Prepare the abstract with a word-processing program.
- Write in the first person, active
voice, past tense, unless your instructor
specifies otherwise.
- Make the abstract an example of your best writing: organized,
logical, and free of errors in grammar and spelling.
- Give the abstract an informative title.
- Begin the abstract with a topic
sentence, in which you state the goal of the
experiment.
- State the goal as a scientific accomplishment, not an
educational accomplishment. For example, state that you
carried out a series of reactions and determined the purity and
yield of the final product (a scientific goal). Do not
state that you ran some reactions in order to learn how to use
basic lab equipment (an educational goal). Tip: Derive your goal
statment from the goal stated for the experiment in the Online
Manual.
- Briefly describe the method(s) you used to accomplish your
goal.
- If you used or studied a chemical reaction, give the equation.
Use subscripts and superscripts properly.
- If you used or studied a compound, give its formula. Use
subscripts and superscripts properly.
- Do not give details of procedures or specific intermediate
results.
- After describing methods, present the
most important result(s) of the experiment. For example, if you
were trying to measure the molarity of acid in a sample of
vinegar, give your final computed molarity.
==> Failure to present your
final results is the most serious content error you can make in an
abstract.
- Finally, give a measure of the precision or
accuracy of your result, whichever is appropriate:
a) Describe precision by giving the amount of variation for
several trials of your measurement, or
b) Describe accuracy by comparing your value with a
literature or expected value.
- Be brief. Maximum length is one-half page, single spaced.
Sample Abstract
Empirical Formula of a Compound
by Vivian Johnson
I determined the empirical formula of an oxide of bismuth by
finding the ratio [(moles O)/(moles Bi)] in a sample of
the compound. I heated three weighed samples of finely divided
bismuth in air and obtained a yellow oxide product. By comparing
the measured weights of the oxide products with the original
weights of the bismuth samples, I found the percent by weight of
Bi and O in the product. Then I calculated the molar ratio of O to
Bi, obtaining a value of 2.46 ± 0.17 for the three trials.
This ratio corresponds to an empirical formula of
Bi2O5, which I assume to be the product of
this reaction:
4 Bi (s) + 5 O2 (g) --> 2
Bi2O5 (s)
Bi2O5 corresponds to the formula of a
known oxide of bismuth listed in the CRC Handbook of Chemistry
and Physics.
Not that Vivian's stated goal is scientific, not educational. She
does not say that she did this experiment to learn something about
chemistry lab work. She says she did it to learn the formula os a
bismuth oxide.
Note that Vivian's abstract includes no specific details of
procedure, and no specific intermediate quantities, such as the
masses of her three Bi samples or her three products. The only
quantity that Vivian provides is the result that constitutes the goal
of the experiment (the molar ratio of O to Bi), along with an
assessment of its precision: the amount of variation in three trials.
The abstract ends with a brief interpretation of the meaning of the
results, and a comparison with literature values.
Note also that Vivian includes an equation for the reaction she
ran in this experiment, as well as the formula of the most important
substance under study. The equation and formula show that Vivian has
figured out how to make subscripts in the word processor.
Now look again at the guidelines for writing abstracts (above) and
see for yourself that this abstract meets all of the
requirements.
Graphs
A graph should be able to stand alone as a description of a
chemical system and its behavior.
Follow these guidelines for all graphs:
- Adjust the scale of your graph so that the plotted data covers
most of the graph in both the x and y directions.
- If your graph will contain plotted data plus a fitted line or
curve (called a "trendline" in Excel), plot a scatter graph
without connecting lines, and make sure that the data points
are displayed as separate points. The only line or curve on the
graph should be the trendline.
- Label the axes with variable names, followed by abbreviations
of units of the variable in parentheses: Example: Concentration
of S2O82- (mol/L).
- Divide the axes into easy-to-understand units.
- Give an informative title that adds to, rather than
repeats, the information on the axes. Example, for a graph of rate
constant versus temperature: Effect of Temperature on Rate of
Oxidation of Iodide Ion by Peroxydisulfate. The title should
not simply reiterate the names of the variables; they are obvious
to the reader if the axes are properly labeled.
- Display the equation of a line or curve fitted to the data (if
applicable). Edit the equation to change the default variable
names (usually x and y) to the actual names of the variables you
graphed.
- Avoid scientific notation on graph axes.
Scientific notation in on Excel graphs is very unprofessional
in appearance.
Here are two ways to avoid it:
- Change data format in cells. If scientific notation
is not needed (plotted data in the range of 0.01 to 1000, use
the Excel command Format:Cells... to set the format to
Number, and specify a number of decimal places that
makes for a neat display on your graph axes. This action will
prevent the numbers of graph axes from having needless repeated
notations like "E+00".
- Rescale data. If axis numbers are smaller than 0.001
or larger than 1000 (the situation in which you usually
use scientific notation), avoid scientific notation on axes by
multiplying or dividing all numbers by a constant factor that
results in rescaled data values between 0 and 10, or 0 and 100.
Then label the axis to show how to interpret the axis numbers.
For example, if you multiply a set of small mass values in g by
105 and plot them, then label the mass axis as
follows: Mass (g) x 105. This means that a
value of 10 on that axis should be interpreted as "10 = mass x
105", which means that mass = 10/105 = 1
x 10-4. Even after doing this you may still need to
use the Format:Cells... command to get rid of those ugly
"E+00" labels.
Sample Graph
Now look again at the guidelines for graphs (above) and see for
yourself that this graph meets all of the requirements.
Estimating Experimental Variation
(Sometimes Called Experimental Error)
This appendix applies specifically to the CHY 116 experiment
"Determining an Equilibrium Constant". You can also use the reasoning
presented here to assess the reliability or precision of any
laboratory results.
Experimental variation is a measure of how reliable your
lab results are, assuming that you carried out the procedure
properly, and made all measurements with proper technique and care.
It is sometimes called experimental
error, but that term is misleading, because experimental
variation tells you how precise your results are if you made
no errors. Experimental variation depends only on the
precision of your measuring tools.
In the experiment on Kc for FeSCN2+, you
used 5-mL graduated pipets to measure volumes, and you can read these
pipets to a tolerance of about ± 0.02 mL. This tolerance would
introduce a maximum error of 2% in a 1-mL volume, the smallest volume
you measured (solution E2). Because of drift in the last decimal
place on the Spec-20, you can read A to a tolerance of about ±
.005, introducing a maximum error of 0.005/0.20, or 2.5%, in your
smallest measured absorbance (about 0.20, also in solution E2).
After you calculate Kc, if you calculate it again, but
you increase [FeSCN2+] by 2.5% (because you
determine it from A) and decrease [Fe3+] and
[SCN-] by 2% (because these molarities depend
mostly on volume measurements), this will compound the errors in the
worst way possible, and give a value of Kc that contains
the maximum expected error or variation. Try it for one of your
calculated values of Kc.
Sample Calculations
Kc = [FeSCN2+] /
[Fe3+][SCN-]
Without error: Kc = (3.84 x 10-5 ) / (9.62 x
10-4 )(1.61 x 10-4 ) = 248.
Adding 2.5% to the numerator, and subtracting 2% from each
molarity in the denominator gives this result:
With error: K'c = (3.94 x 10-5) /
(9.43 x 10-4)(1.58 x 10-4) = 264.
The difference between Kc and K'c
is 16, which is about 6.5% of 248. The maximum expected experimental
variation in Kc is therefore 6.5%.
This example shows how to use the precision of lab instruments to
estimate the expected variation in results. This method gives the
maximum error you can expect in Kc if you make no blunders
in lab.
CHY 114 Syllabus
CHY 116 Syllabus
Lab Manuals