Working with Probabilities Physics 115a (Slideshow 1) A. Albrecht These slides related to Griffiths...

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Working with Probabilities Physics 115a (Slideshow 1) A. Albrecht These slides related to Griffiths section 1.3
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Transcript of Working with Probabilities Physics 115a (Slideshow 1) A. Albrecht These slides related to Griffiths...

Working with ProbabilitiesPhysics 115a (Slideshow 1)

A. Albrecht

These slides related to Griffiths section 1.3

Consider the following group of people in a room:

Age Number

14 1

15 1

16 3

22 2

24 2

25 5

Histogram Form

0 10 20 30 400

1

2

3

4

5

Age

Nu

mb

er

Consider the following group of people in a room:

Age Number

14 1

15 1

16 3

22 2

24 2

25 5

Total people = 14

Consider the following group of people in a room:

Total people = 14

Age Number Probability

14 1

15 1 ?

16 3

22 2

24 2

25 5

Consider the following group of people in a room:

Total people = 14

Age Number Probability

14 1

15 1 1/14

16 3

22 2

24 2

25 5

Consider the following group of people in a room:

Total people = 14

Age Number Probability

14 1

15 1 1/14

16 3

22 2

24 2

25 5 ?

Consider the following group of people in a room:

Total people = 14

Age Number Probability

14 1

15 1 1/14

16 3

22 2

24 2

25 5 5/14

Consider the following group of people in a room:

Total people = 14

Age Number Probability

14 1 ?

15 1 1/14

16 3 ?

22 2 ?

24 2 ?

25 5 5/14

Consider the following group of people in a room:

Total people = 14

Age Number Probability

14 1 1/14

15 1 1/14

16 3 3/14

22 2 2/14

24 2 2/14

25 5 5/14

Probability Histogram

0 10 20 30 400

0.1

0.2

0.3

0.4

Age

Pro

ba

bili

ty

0 10 20 30 400

1

2

3

4

5

Age

Nu

mb

er

Number Histogram

NB: The probabilities for ages not listed are all zero

Total people = 14

Age Number Probability

14 1 1/14

15 1 1/14

16 3 3/14

22 2 2/14

24 2 2/14

25 5 5/14

Assuming Age<20, what is the probability of finding each age?

Total people = 14

Age Number Probability

14 1 ?

15 1 ?

16 3 ?

22 2 ?

24 2 ?

25 5 ?

Assuming Age<20, what is the probability of finding each age?

Total people = 14

Age Number Probability

14 1 ?

15 1 ?

16 3 ?

22 2 0

24 2 0

25 5 0

Assuming Age<20, what is the probability of finding each age?

Total people = 14

Age Number Probability

14 1 1/5

15 1 1/5

16 3 3/5

22 2 0

24 2 0

25 5 0

Total people = 14

Age Number Probability

14 1 1/14

15 1 1/14

16 3 3/14

22 2 2/14

24 2 2/14

25 5 5/14

Assuming no age constraint, what is the probability of finding each age?

Related to collapse of the waveunction (“changing the question”)

Assuming Age<20, what is the probability of finding each age?

Total people = 14

Age Number Probability

14 1 1/5

15 1 1/5

16 3 3/5

22 2 0

24 2 0

25 5 0

Related to collapse of the waveunction (“changing the question”)

Consider a different room with different people:

Age Number

19 3

20 2

21 5

22 3

24 1

25 1

Total people = 15

Consider a different room with different people:

Age Number Probability

19 3 3/15

20 2 2/15

21 5 5/15

22 3 3/15

24 1 1/15

25 1 1/15

Total people = 15

0 10 20 30 400

1

2

3

4

5

Age

Nu

mb

er

Red Room Numbers

Red Room Probabilities

0 10 20 30 400

0.1

0.2

0.3

Age

Pro

ba

bili

ty

Combine Red and Blue rooms

Total people = 29

Age Number Probability

14 1 1/29

15 1 1/29

16 3 3/29

19 3 3/29

20 2 2/29

21 5 5/29

22 2+3 5/29

24 2+1 3/29

25 5+1 6/29

0 10 20 30 400

1

2

3

4

5

6

Age

Nu

mb

er

0 10 20 30 400

0.1

0.2

Age

Pro

ba

bili

ty

0 10 20 30 400

1

2

3

4

5

6

Age

Nu

mb

er

0 10 20 30 400

0.1

0.2

Age

Pro

ba

bili

ty

Lessons so far

• A simple application of probabilities

• Normalization

• “Re-Normalization” to answer a different question

• Adding two “systems”.

• All of the above are straightforward applications of intuition.

Expectation Values

0 10 20 30 400

0.1

0.2

0.3

0.4

Age

Pro

ba

bili

ty

Most probable answer = 25Median = 23

Average = 21

0 10 20 30 400

0.1

0.2

0.3

0.4

Age

Pro

ba

bili

ty

Most probable answer = 25Median = 23

Average = 21

Lesson: Lots of different types of questions (some quite similar) with different answers. Details depend on the full probability distribution.

Average (mean):

0

0

j

jtot

jN j

j jP jN

• Standard QM notation

• Called “expectation value”

• NB in general (including the above) the “expectation value” need not even be possible outcome.

Average (number squared)

Age Number (Number)2 Probability

14 1 1 1/14

15 1 1 1/14

16 3 9 3/14

22 2 4 2/14

24 2 4 2/14

25 5 25 5/14

2

02 2

0

449.4j

jtot

j N j

j j P jN

In general, the average (or expectation value) of some function f(j) is

0j

f j f j P j

Careful: In general 2 2j j

441 449.4

The “width” of a probability distribution

1 2 3 4 5 6 7 8 9 100

2

4

6

8

10

Age

Nu

mb

er

1 2 3 4 5 6 7 8 9 100

2

4

6

8

10

Age

Nu

mb

er

1 2 3 4 5 6 7 8 9 100

2

4

6

8

10

Age

Nu

mb

er

1 2 3 4 5 6 7 8 9 100

2

4

6

8

10

Age

Nu

mb

er

Discuss eqns 1.10 through 1.13 at board

Continuous Variables

Continuous Variables

Why not measure age in weeks?

0 500 1000 15000

0.2

0.4

0.6

0.8

1

Age (Weeks)

Nu

mb

er

Blue room in weeks

0 500 1000 15000

0.02

0.04

0.06

0.08

Age (Weeks)

Pro

ba

bili

tyBlue room in weeks

Conclusion: Blue room in weeks not very useful/intuitive

Another case where a measure of age in weeks might by useful:

The ages of students taking health in the 8th grade in a large school district (3000 students).

0 200 400 600 800 10000

5

10

15

20

25

Age (Weeks)

Nu

mb

er

0 200 400 600 800 10000

2

4

6

8

x 10-3

Age (Weeks)

Pro

ba

bili

ty

0 200 400 600 800 10000

2

4

6

8

x 10-3

Age (Weeks)

Pro

ba

bili

ty

0 200 400 600 800 10000

0.1

0.2

0.3

0.4

Age (Weeks)

Pro

ba

bili

ty p

er

yea

r