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Suppose you flip1000 coins.
a What is the probability of getting exactly 500heads and 500tails? (Hint: First write down a formula for the total number of possible outcomes. Then, to determine the "multiplicity" of the 500-500"macrostate," use Stirling's approximation. If you have a fancy calculator that makes Stirling's approximation unnecessary, multiply all the numbers in this problem by 10, or 100, or1000, until Stirling's approximation becomes necessary.)
bWhat is the probability of getting exactly 600heads and400 tails?

Short Answer

Expert verified

Part a

aThe probability of getting exactlyP(500)≈0.02523.

part b

bhe probability of getting exactlyP(600)≈4.635×10−11.

Step by step solution

01

Step: 1 Finding probability: (part a)

A larger coin tossing experiment is underway. N=1000 coins are flipped. Stirling's approach may be used to calculate the likelihood of receiving exactly 500 head and 500 tails. The total number of possible outcomes is as follows:

2N=21000

Where n=500heads as

Ω(N,n)=Nn=N!n!(N−n)!Ω(1000,500)=1000500Ω(1000,500)=1000!500!(1000−500)!Ω(1000,500)=1000!500!2.

Using Stirling's approximation as

N!≈NNe−N2πNΩ(1000,500)=1000!500!2≈10001000e−10002π⋅1000500500e−5002π⋅5002Ω(1000,500)≈10001000×e−1000×10005001000×e−1000×500×2π

02

Step:2 Dervative: (part a)

From the above equation,

Ω(1000,500)≈(500×2)1000×10005001000×500×2πΩ(1000,500)≈(2)1000×1000500×2π

Probability approximately getting exactly role="math" localid="1650333432268" 500heads as

P(n)=Ω(N,n)2NP(500)=Ω(1000,500)21000

Substituting,we get

P(500)=Ω(1000,500)21000≈121000(2)1000×1000500×2πP(500)≈1000500×2πP(500)≈0.02523.

03

Step: 3 Derivative probability: (part b)

The number getting n=500heads as

Ω(N,n)=NnΩ(N,n)=N!n!(N−n)!Ω(1000,600)=1000600Ω(1000,600)=1000!600!(1000−600)!Ω(1000,600)=1000!600!400!.

Using Stirling's approximation as

role="math" localid="1650333713655" N!≈NNe−N2πNΩ(1000,600)=1000!600!400!≈10001000e−10002π×1000600600e−6002π×600400400e−4002π×⋅400Ω(1000,600)≈10001000×e−1000×1000400400×600600×e−1000×600×400×2π

04

Step: 4 Equating part: (part b)

From the above equation,

Ω(1000,600)≈21000×5001000×1000400400×600600×600×400×2πΩ(1000,600)≈1480π×21000×5001000400400×600600

Probability approximately getting exactly 500heads as

P(n)=Ω(N,n)2NP(600)=Ω(1000,600)21000

Substituting,we get

P(600)=Ω(1000,600)21000≈121000×1480π×21000×5001000400400×600600P(600)≈1480π×5001000400400×600600

05

Step: 5 Finding probability value: (part b)

The ratio is not applicalable, so simplify as

1480π×5001000400400×600600=1480π×(1.25×400)1000(1×400)400×(1.5×400)600→1480π×(400)1000×(1.25)1000(400)400×(1)400×(400)600×(1.5)600

But,

(400)1000(400)600×(400)400=(400)1000(400)1000=1→1480π×(1.25)1000(1)400×(1.5)600

Where,

P(600)≈1480π×(1.25)1000(1)400×(1.5)600P(600)≈4.635×10−11.

Where as Maple is working large exponents directly.

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