STATS96 - University of the Pacific

Minute papers about projects on Wed am

1. What is going well about your project?

• Everything -- our project is pretty straightforward and we've made some useful adjustments to data collection after the peer review.
• We got a good group and have done the analysis and are writing it up.
• Data collection. (Found some interesting side effects)
• Cooperation. Together decided on a good project and how to gather data.
• We have collected all our data, and done the analysis. It showed that our original hypothesis was reasonable.
• Our data is collected (although we had to go off campus to get enough)
• The project is moving along. We are collecting data.
• We have a fun topic. We have been able to collect a large amount of data. We have had good discussions concerning the project with all members of the team contributing valuable input.
• We are having fun collecting the data.
• Data gathering is going well. It brings in more questions than answers them, but that is quite interesting.
• Designing the experiment, collecting data, re-evaluating our goals and group interactions.
• Our project is moving along very smoothly; great team work, organized data collection, agreement on important issues.
• We have gotten all necessary data.
• We are doing fine-- the people are very nice in my group.
• Going well-- data being gathered
• Data collection has been exciting and insightful
• Data collection is progressing well -- results are even better than expected so we can draw conclusions with more confidence and less maximum error.

2. What would you like more discussion of concerning projects?

• Problems that teams are encountering in data collection
• Different ways of using projects in elem stat class
• Contents of final report
• More project ideas for my students -- projects of various lengths (1 week, 3 weeks, etc.)
• Students working on projects (and other group activities) How to grade? How to monitor? % of total assessment.
• If you are finding that there are no significant differences between your two groups you are comparing, how do you put some "meat" in writing it up?
• Project experiences with students
• Models of what a project write-up should look like.
• Appropriate sampling
• A list of projects done by past workshops
• May need some more info or copying info
• Guidance from workshop leaders on what test to use, etc.

3. What is going least well about your project?

• No problems so far
• I am somewhat at a loss using MINITAB and spreadsheet applications. I hope to catch up during the free time.
• Some ambiguity about variables
• A good learning experience, but data collection is time-consuming. We are interested in the topic, but I can't imagine my students being so dedicated. The "A" student would end up collecting all the data.
• None
• Nothing
• More time to do a better project! This is by far the best thing so far in the workshop.
• Deciding precisely what question we are dealing with.
• Nothing.
• NA
• One of the variables we are measuring is not predictable.
• No problems so far (we have a great group!). Are just starting to analyze data today, so maybe we'll encounter some difficulty then.
• I'm not comfortable with some of the techniques we are using . . I'm just accepting what is being done.
• Scope of project unclear.
• Our original hypothesis does not seem to be interesting (not much variability)
• Nothing
• Blank