IE 2030. Project 1b, Cashier study, Validation
Due in lab, Feb 28 (Monday lab students); March 1 (Wednesday lab students)
This project should be done in groups of size 2 to 4, preferably the same groups
as for project 1a. All students must be in the same
section.
This is a continuation of project 1a.
1) Collect more data of the type needed for part (2) of project 1a.
If you did not collect the right kind(s) of data for project 1a, this is
a chance for you to make up part of that deficiency.
2) Compare your second batch of data with the data you had collected
previously. There are many ways to do this. Your project is apt to be
better if you only use multiple methods. Here are some possibilities:
compare means, variances, and other descriptive statistics
same as above but also compute confidence intervals
compare visual representations of the two data sets e.g. histograms,
cumulative distributions.
fit the data from the first batch based on a hypothesis, or
using best fit or other software; then
compare the second batch with the fitted distribution. This could include
a goodness-of-fit test. How well does the first batch data fit the
distribution? How about the second batch data?
compare the second batch of data with the empirical distribution from the
first batch, including a goodness-of-fit test if possible
use visualizations that directly compare the data
compute statistics that compare the data (e.g. based on ordered pairs)
think of a comparative method that is more specific to the type of
data collected
3) What can you learn from your comparisons? What insights or experience have
you acquired? If you suspected that some of your data from the first batch would
be atypical, because of the Superbowl or ice storm, what does your analysis
indicate?
NOTE: This project will overlap significantly with a project in 2028. You should
be able to use the same data, and much of the same analysis, for both. However, you will
have to prepare separate reports. Be aware that the focus of the project
in 2028 may be a bit different.