Simple Probability Question

  • Thread starter Ryoukomaru
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In summary, the probability that the number of heads obtained, X, is equal to r when an unbiased coin is tossed n times is given by P(X=r) = {n \choose r} \frac{1}{2}^{r+n-1}, where q=1-p and q is raised to the (n-r)th power. This follows a binomial distribution and can be expressed as X~N(n,p).
  • #1
Ryoukomaru
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An unbiased coin is tossed n times and X is the number of heads obtained. Write down an expression for the probability that X=r.

It looks so simple yet I can't figure it out.
Does it follow a binomial distribution ?

Then if
[tex]
X[/tex]~[tex]N (n,p)[/tex]

It follows
[tex]
P(X=r) = \left(
\begin{array}{cc}
n\\
r
\end{array}
\right)
\cdot p^r \cdot q^{n-1} [/tex]
where [tex]q=1-p[/tex]

But [tex] p=q=1/2
[/tex]
So the answer is
[tex]
P(X=r) = \left(
\begin{array}{cc}
n\\
r
\end{array}
\right)
\frac{1}{2}^{r+n-1}[/tex]

Am I right ?

P.S. First time using latex. It sure took long. :tongue2:
 
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  • #2
when u raise the fraction by a certain power, u have to distribute the power to both the numerator and denominator
 
  • #3
Ryoukomaru said:
[tex]
P(X=r) = \left(
\begin{array}{cc}
n\\
r
\end{array}
\right)
\cdot p^r \cdot q^{n-1} [/tex]
where [tex]q=1-p[/tex]
Almost. q should be raised to the (n-r)th power.

P.S. First time using latex. It sure took long. :tongue2:
You'll get used to it. And it looks so pretty. :biggrin:

By the way, you don't need to use array's for displaying [itex]n \choose r[/itex]. LateX has a special command for it. Just type {n \choose r}. You can even omit the brackets.
 
  • #4
Ahh right, thanks for the correction. Silly me.

Gallieo: Thx for the tip. :)
I got to read through the list of latex commands but i am so busy right now, i don't have time for it.
 

What is simple probability?

Simple probability is a mathematical concept that measures the likelihood of an event occurring. It is calculated by dividing the number of favorable outcomes by the total number of possible outcomes.

What is the difference between theoretical and experimental probability?

Theoretical probability is based on mathematical calculations and assumes that all outcomes are equally likely. Experimental probability is based on actual observations or trials and may vary due to chance or other factors.

How do you calculate the probability of multiple events occurring?

To calculate the probability of multiple events occurring, you can use the multiplication rule. This states that the probability of two independent events occurring is equal to the product of their individual probabilities.

What is the difference between dependent and independent events?

Dependent events are influenced by previous events, while independent events are not. In other words, the outcome of a dependent event is affected by the outcome of a previous event, while the outcome of an independent event is not.

What is the role of sample size in probability?

Sample size refers to the number of observations or trials used to calculate the probability of an event. A larger sample size can provide a more accurate representation of the population and decrease the margin of error in the calculated probability.

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