Analysis of the Human Face (continued) 9/15/06. IMPORTANT! Any new students should identify...
Transcript of Analysis of the Human Face (continued) 9/15/06. IMPORTANT! Any new students should identify...
Analysis of the Human Face(continued)
9/15/06
IMPORTANT!
• Any new students should identify themselves to Dr. Pergolizzi NOW, to obtain a book, and a course outline.– These students will be instructed on how to take the
“face measurements”– Data they generate will be added to the database
we will build today
• ALL students should take a copy of the handout and the new, improved course outline!
What did we measure?
• Length of Ear
• Interpupillary Distance
• Length of face
• Width of face– 2 measurements (ear to nose, both sides)
• Length of nose
How will we analyze the data?
• Measurements for each subject will be entered into an Excel spreadsheet and used to calculate:– Mean, deviation, variance and standard deviation
• Data will be combined to analyze– Group 1 vs. group 2– Male vs female– Other groupings?
• Differences between groups will be analyzed for significance using the student’s t test
Students will:• Enter the measurements they obtained into a
database– See “face datafile”
• Upon completion of the database each student will take a copy. – Can use disk, flashdrive, or e-mail to yourself
• For each set of measurements (e.g., subject X, interpupillary distance) calculate mean, variance and standard deviation (SD)– Insert columns as required
• For the entire group of measurements (e.g., group A interpupillary distance) calculate overall mean, variance and SD– Insert columns as required
Extra Credit
• Any student who did the extra credit exercise…– Obtain data from the internet or other source on
facial data from another population• E.g., distance between eyes as a function of gender, age,
etc.
…is encouraged to share their findings with the group
What does the analysis mean?
• Have we introduced any biases into our measurement?
• Is what we have done an “experiment”?
• What conclusions can be drawn from our measurements? Can we extrapolate to the general population?
• What would you do to improve the quality and/or significance of the data?
For Next Time:• Analyze the data for “Group A vs Group B” for
significance as determined by the student’s t test with p<0.05
• Please read Chapters 11 and 12 (page 167) in “The Art of Science”.
• Now is the time to begin to think about your research projects!– Please come to chat with Dr. Pergolizzi and/or Ms. Leonardi
to begin the process of identifying and refining an interesting research project that could be accomplished in the limited time available