geometric probabilities: from fractions to definite integrals using technology sergei abramovich...

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GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

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Page 1: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

GEOMETRIC PROBABILITIES: FROM

FRACTIONS TO DEFINITE INTEGRALS USING

TECHNOLOGY

Sergei AbramovichState University of New

York, Potsdam, USA

Page 2: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

National Council of Teachers of Mathematics (PSSM: 2000)

Probability is a curriculum strand that spans across grades 1 – 12.

Calculation of probability is a quantification of the likelihood of an event.

Measurement includes assigning a number to a characteristic of a situation.

Geometric representations can help students make sense of area and fractions.

Page 3: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Combining Probability, Geometry, and Measurement while using Technology

Geometric approach to the measurement of likelihood involved construction of regions in the sample space and finding measures of those regions.

The approach lends itself to the use of technology: “…it influences the mathematics that is taught” (Technology Principle, p.24)

Page 4: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Instructional context

Elementary teacher candidates(Content and Methods courses)

Secondary mathematics teacher candidates(The capstone course)

Page 5: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

STEM education

“Engineering might not be a discipline that people expect to find in elementary or even secondary school but it is a powerful way of teaching, learning, and extending educational methods.”

Rogers & Portsmore, Bringing Engineering to Elementary School, Journal of STEM

Education, 2004, 5(3/4), p. 25.

Page 6: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Technology used

--Spreadsheets--The Graphing Calculator 3.5 (Pacific Tech), alternatively NuCalchttp://en.wikipedia.org/wiki/NuCalc--The Geometer’s Sketchpad (Key Curriculum

Press)--Maple

Page 7: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

History

Buffon – a French naturalist, mathematician, and cosmologist of the 18th century.

Worked on the development of fair games by introducing calculus into probability.

The Needle Problem (the first geometric probability problem): determining the probability of a needle landing on one of a set of parallel lines when dropped at random on a plane.

Page 8: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Formal definition of geometric probability

Consider a trial consisting in a random choice of a point over the region D. The outcomes of this trial are uniformly distributed over D.

Let E be an event that a point chosen randomly from D belongs to its part d. Then

P(E)=measure(d)/measure(D)

Page 9: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

The didactic of geometrization

“To find a lucid geometric representation for your nongeometrical problem could be an important step toward the solution.”

G. Polya, How to Solve It,

1945, p. 108

Page 10: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Early elementary curriculum

“There are three chances out of four” to pick up an even number from the set {1, 2, 4, 6}.

How can one measure the likelihood (or chances) for such an event to realize?

Recourse to geometry andApplication of fractionsWhat fraction of the square is filled with even

numbers? (A dart game).

Page 11: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Spreadsheet as a geometric medium (elementary classroom)

A machine changed a 25-cent coin (a quarter) into dimes, nickels, and pennies. Assuming that there is equally likely to get any combination of the coins, find the probability that there are no pennies in the change.

What fraction of the (staircase-like) chart is

shaded?P(E)=3/12=1/4

Page 12: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Comparing probabilities through geometrization

Billy wants to eat red M&Ms only. There are two bags of M&Ms available, plain and peanut. If there are 3 red plain out of 5 total and 4 red peanut out of 7 total, for which bag does Billy have higher probability to get a red M&M?

X’s --- 3/5; O’s ---4/721 X’s; 20 O’s. Higher probability for the bagwith plain candies.

This is not the end of the story!

Page 13: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Fractions may be challenging not only for children!

Billy and Mary want to eat red M&Ms only. If there are 3 red plain out of 5 total and 4 red peanut out of 7 total, how many red M&Ms of each kind does Billy have to eat in order for Mary to have higher probability to get a red peanut M&M?

How can we replicate such a situation?

Page 14: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Probabilistic approach to exploring systems depending on parameters

“…systems may have unexpected effects that can not be predicted from the behavior of individual subsystems.”

Committee on K-12 Engineering

Education (2009).

Page 15: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Behavior of linear functions with parameters

A point M (a, b) is chosen at random over the rectangle with the vertices (-2, 0), (-2, 5), (4, 5), (4, 0). What is the probability that the function f(x) = ax + b at the points x = 2, x = -1, and

x = -0.5 assumes values such that f(2) > -2, f(-1) > 1, f(-0.5) < 3?

Triangular region of parameters responsible for the behavior of f(x)

Page 16: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Multiple ways of finding the area

Traditional integration (pencil-and-paper)

Integration using math software (e.g., Maple)

The use of The Geometer’s Sketchpad

Pick’s formula (Area = 0.5B + I – 1: B = 9, I = 4, A = 7.5, P = 7.5/30 = 1/4)

Page 17: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Using a spreadsheet Geometric probability vs. experimental probability

Page 18: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Pick’s formula extended: Constructing points using two-variable inequalities

Page 19: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Construction technique made possible by the Graphing Calculator 3.5

The point (a0, b0) can be defined as the set

where ε is the “thickness” of the point. In the plane of parameters (a, b) this set can be

defined through the inequality

Page 20: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Geometric probabilities defined by curvilinear regions in the plane of parameters

Parameters a and b are chosen at random over a large square with side 2R centered at the origin. What is the probability that the systems of simultaneous equations

and both have two real solutions?

Page 21: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

The case R < 4 (what fraction of the square is dark?)

P = R/24 + 1/4 5/12 as R4Technology used: The Graphing Calculator 3.5, Maple

Page 22: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

The case R > 4 (what fraction of the square is dark?)

P = f(R) 5/12 < f(R) < 1

Page 23: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

The case R = 4 (what fraction of the square is dark?)

P = 5/12

Page 24: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Experimental Probability (R = 2) = 0.329.Geometric Probability (R = 2) = 0.333… .

Page 25: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Experimental Probability (R = 30) = 0.745.Geometric Probability (R = 30) = 0.758…

Page 26: GEOMETRIC PROBABILITIES: FROM FRACTIONS TO DEFINITE INTEGRALS USING TECHNOLOGY Sergei Abramovich State University of New York, Potsdam, USA

Conclusion

Geometric approach to probability:

Gives new meaning to traditional concepts;Provides new context for technology use;Connects theory and experiment;Offers new avenues for problem solving,Enhances the “E” component of STEM

education.