fair coin probability

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May 23rd 2006, 07:25 PM
swoopesjr01

fair coin probability

What is the probability that in 120 tosses of a fair coin between 40% and 60% (inclusively) will be heads?
May 23rd 2006, 07:37 PM
ThePerfectHacker

Quote:

Originally Posted by swoopesjr01

What is the probability that in 120 tosses of a fair coin between 40% and 60% (inclusively) will be heads?

Note,
40% of 120 is 48
60% of 120 is 72
Which means the probability is,
$P(48)+P(49)+...+P(71)+P(72)=\sum^{72}_{k=48}P(k)$
But, because of binomial probability we have,
$P(k)={120 \choose k}(1/2)^k(1/2)^{120-k}={120 \choose k}(1/2)^{120}$
Thus,
$\sum^{72}_{k=48}{120 \choose k}(1/2)^{120}\approx .9779$
May 23rd 2006, 08:35 PM
CaptainBlack

Quote:

Originally Posted by swoopesjr01

What is the probability that in 120 tosses of a fair coin between 40% and 60% (inclusively) will be heads?

Use the normal approximation to the Binomial distribution for this.

The mean number of heads is $60$ , the standard deviation is
$\sqrt{120\times 0.5\times 0.5}=\sqrt{30}$

Between 40% and 60% of 120 is between 48 and 72. To allow for the
fact that we can only have an integer number of heads we work the
normal approximation (which is continuous) for between 47.5 and 72,5
heads.

The z-scores for the ends of the range are:

$<br /> z_{lo}=\frac{47.5-60}{\sqrt{30}}\approx -2.282<br />$

$<br /> z_{hi}=\frac{72.5-60}{\sqrt{30}}\approx 2.282<br />$

Now looking the probability of a standard normal random variable having
a value in the range $[-2.28,2.28]$ we find the probability is
$\approx 0.9775$ .

This last answer may be compared with PH's calculation based on using
the exact binomial formula.

RonL
May 24th 2006, 01:15 PM
ThePerfectHacker

Man, I really wish I learned the normal curve theory I look like a noob when I answer these probability questions.
May 24th 2006, 02:59 PM
topsquark

Quote:

Originally Posted by ThePerfectHacker

Man, I really wish I learned the normal curve theory I look like a noob when I answer these probability questions.

Pffl. I don't know nothin' "normal!" :D

-Dan