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Fluke, could you explain ?
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Fluke, could you explain ?

Frankly, I have memorized the formula and when/where to apply that. How does it give the exact count; for that you'd have to use a small set rather than these astronomical numbers.

Let's just flip the coin 4 times and get exactly one head.

\(C^4_1*\frac{1}{2^1}*\frac{1}{2^3}=\frac{4}{16}=\frac{1}{4}\)

TTTT
TTTH
TTHT
TTHH
THTT
THTH
THHT
THHH
HTTT
HTTH
HTHT
HTHH
HHTT
HHTH
HHHT
HHHH

You see; only 4 of these have exactly 1 head.

Let's see the components:

\(Probability(Head)=\frac{1}{2}\)
\(Probability(Not-Head/Tail)=1-\frac{1}{2}=\frac{1}{2}\)

Number of times we expect the head to appear exactly: n
Total trials : t

So,
\(Ways=C^t_n*Probability(Head)^n*Probability(Not-Head)^{(t-n)}\)

In the original question:
\(n=8\)
\(t=16\)

\(Ways=C^{16}_8*Probability(Head)^8*Probability(Not-Head)^{(16-8)}\)

A better place to learn about Binomial Distribution is walker's tutorial on Probability:
https://gmatclub.com/forum/math-probability-87244.html

Topic: "Combination of independent and mutually exclusive events"

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