Use the following formula for calculating binomial probabilities to answer the question.

[tex]\[
{ }_n C_k(p)^k(1-p)^{n-k}
\][/tex]

What is the probability of getting exactly 5 "heads" in 10 coin flips?

A. [tex]\(\frac{1}{32}\)[/tex]

B. [tex]\(\frac{63}{256}\)[/tex]

C. [tex]\(\frac{1}{2}\)[/tex]

D. [tex]\(\frac{193}{256}\)[/tex]



Answer :

To find the probability of getting exactly 5 "heads" in 10 coin flips, we will use the binomial probability formula.

The formula for calculating binomial probabilities is given by:
[tex]\[ \binom{n}{k} p^k (1-p)^{n-k} \][/tex]
where:
- [tex]\( n \)[/tex] is the number of trials (flips).
- [tex]\( k \)[/tex] is the number of successful trials (heads).
- [tex]\( p \)[/tex] is the probability of success on a single trial (getting heads in one flip).
- [tex]\( \binom{n}{k} \)[/tex] is the binomial coefficient which can be calculated by:
[tex]\[ \binom{n}{k} = \frac{n!}{k!(n-k)!} \][/tex]

Now, let's plug in the values:

1. Number of trials, [tex]\( n = 10 \)[/tex].
2. Number of successful trials, [tex]\( k = 5 \)[/tex].
3. Probability of success on an individual trial, [tex]\( p = 0.5 \)[/tex] (since it's a fair coin).

First, we calculate the binomial coefficient [tex]\(\binom{10}{5}\)[/tex]:
[tex]\[ \binom{10}{5} = \frac{10!}{5! (10-5)!} = \frac{10!}{5! \cdot 5!} = \frac{10 \times 9 \times 8 \times 7 \times 6}{5 \times 4 \times 3 \times 2 \times 1} = 252 \][/tex]

Next, we calculate the probability [tex]\( p^k (1-p)^{n-k} \)[/tex]:
[tex]\[ p^k (1-p)^{n-k} = (0.5)^5 (0.5)^{10-5} = (0.5)^5 (0.5)^5 = (0.5)^{10} = \frac{1}{1024} \][/tex]

Now, multiply the binomial coefficient [tex]\(\binom{10}{5}\)[/tex] by the probability:
[tex]\[ 252 \times \frac{1}{1024} = \frac{252}{1024} = \frac{63}{256} \][/tex]

Therefore, the probability of getting exactly 5 "heads" in 10 coin flips is:

[tex]\(\boxed{\frac{63}{256}}\)[/tex]