Paper Airplane Design and Statistical Analysis

peterplanesA.jpg (21355 bytes)
And the winner is........


Purpose:
1. To accurately follow airplane designs
2. To test performance of individual airplane design
3.  To determine which design gives    consistently long, stable flights
4. To become familiar with and see the use of the following terms
  a.  mean
  b.  deviation
  c.  variance
  d.  signal/noise ratio
  e.  parameter
5.  To apply statistical methods to data for the  purpose of determining the "best" design model
 6. To produce one "best" design model and defend the choice of that model
7.  To compare new chosen design with your last flight data

 

Terms to Know:
1. Statistical analysis
2. Parameter
3. Bell Curve (normal)
4. Skew
5. Bias
6. Mean
7. Variance
8. Deviation (standard)
9. Signal ÷ Noise  ( S/N ratio)
10. Robust design

 

Airplane Design Parameters  (X)
a. weight distribution  ( center of gravity or c of g ) 
b. stabilizer
c. nose length
d.  wing angle  (area of wing)

Each parameter has three (3) variables ( N ).   Thus, the formula used to determine the number of possible combinations for airplane design is

XN = 43 = 64  possibilities

Utilizing a rotating statistical design matrix, we will test samples using nine (9) experimental design patterns to be issued by the instructor.

Using a S/N ration, select the more robust design.

Procedure:
1. Obtain lab sheets, statistical terms, and materials for airplane bodies
2. Accurately follow airplane designs, labelling each design with experiment number and your name
3.  Fly plane, measure, record flight distances in meters
4. Obtain all pertinent data from all physics classes
5. Obtain all statistical results and graphs from teacher
6.   After analysis of data, choose, build, and test "best" design
7. Defend your choice of design in written discussion and conclusion