Environmental Data Analysis EESC
BC 3017
Lab: Dry deposition of particulate matter in New York City
Part 2
-
Count the number of particles in
each
of the five 1cm2 squares of your samples with the provided
magnifying
lens and write down the results on an extra sheet. Repeat
counting
particles of the 5 squares of one of your experiments without
looking
at your previous results and note the counts (You should have done this
already at home).
-
Download the table template from
the
web
-
Put your own data (counting the
5 squares
twice for one experiment) into the spreadsheet. XY stands for your
initials.
If you performed two experiments call them XY1 and XY2. Also fill in
information
regarding sample time, location and any observations you made during
your
experiment.
-
Determine average, median,
standard
deviation, standard error, and 95% confidence interval of the first 5
counts, and the second 5 counts.
Is there a difference between the two sets of counts? What could be the
cause?
-
Do the same for other peoples's
samples
that you have collected (but only counts each square once).
-
Determine average, median,
standard
deviation, and standard error of the 5 counts of the second
experiment.
-
Convert the count rates into
fluxes
(particles per cm2 per hour, or: part cm-2 h-1).
-
Store the file as PMXY.xls (XY:
your
initials).
-
Look at the provided sheet with
sand
grains and decide what the minimum particle size would be that you can
still see with the magnifying lens.
-
We will put the data together in
one
master table. Send the EXCEL file via e-mail to me or put them on the
disk
provided in class.
-
Plot the data as
-
histograms
-
scatterplots with error bars
-
boxplots