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Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics [email protected]

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Page 1: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Data Analysis in Mathematical Modeling

Dan TeagueNC School of Science and Mathematics

[email protected]

Page 2: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Wind Chill Table

Page 3: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

20 mph row

Page 4: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Residuals for 20 mph Wind Velocity

Page 5: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Residuals for 5-20 mph lines

Page 6: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Residuals for 25-45 mph lines

Page 7: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Fit a line to each row

Page 8: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 9: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

“Wind velocities greater than 45 mph have little additional cooling effect”.

Page 10: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 11: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Semi-log Re-expression

Page 12: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Flip the Residual Curvature

Page 13: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 14: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 15: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 16: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 17: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Difference Quotients

Page 18: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 19: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 20: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 21: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 22: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 23: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 24: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Logistic Models

Page 25: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 26: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 27: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 28: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 29: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 30: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

What is the probability a test tube needs to be retested?

• The probability of an individual testing positive is p.

• The probability of an individual testing negative, then, is 1 – p.

• The probability of two individuals both testing negative is (1 – p)(1 – p).

• The probability of G individuals all testing negative is (1 – p)^G.

• The probability of at least on of G individuals testing positive is 1 – (1 – p)^G.

Page 31: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 32: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Why Calculus Fails

Page 33: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Data Analysis to the Rescue

Page 34: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

The Data Falling on the Solution

Page 35: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

We see double asymptotes, so try log-log

Page 36: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Vertical Shift?

Page 37: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Minimize Sums of Squares

Page 38: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Two Potential Models

Page 39: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Should we always group?

Page 40: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 41: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

CO2 in the Atmostphere

Page 42: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

sinC t f t a b t c

Page 43: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 44: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Is it exponential?

ln 300 0.0399 0.437C t 0.0399( ) 1.548 300tF t e

Page 45: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Residuals?

0.0399( ) 1.548 300tF t e

sinC t f t a b t c

Page 46: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

The residuals from the exponential model

1

3sin 224

S t t

Page 47: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

0.0399 1( ) 1.548 3sin 2 300

24tC t F t e t

Page 48: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Data Analysis in Mathematical Modeling

Dan TeagueNC School of Science and Mathematics

[email protected]

Page 49: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 50: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 51: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
Page 52: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu
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Page 55: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Which model captures the underlying functional relationship?

Page 56: Data Analysis in Mathematical Modeling Dan Teague NC School of Science and Mathematics teague@ncssm.edu

Data Analysis in Mathematical Modeling

Dan TeagueNC School of Science and Mathematics

[email protected]