MHB -aux.09.Probability distribution

  • Thread starter Thread starter karush
  • Start date Start date
  • Tags Tags
    Distribution
Click For Summary
The discussion focuses on calculating the expected value, E[X], from a given probability distribution table. The probability distribution lists values of x and their corresponding probabilities, P(X=x). The expected value is defined as E[X]=∑(x_k * p_k), which represents a weighted average of the outcomes. Participants confirm that by applying this formula, the expected value is calculated as 2.45. The calculation process is straightforward, demonstrating the concept effectively.
karush
Gold Member
MHB
Messages
3,240
Reaction score
5
from probability distribution table

$$x\ \ \ P(X=x)$$
$$1\ \ \ 0.3$$
$$2\ \ \ 0.15 $$
$$3\ \ \ 0.35 $$
$$4\ \ \ 0.2 $$

find $$E[X]$$

I don't know what $$E[X]$$ is
 
Mathematics news on Phys.org
Re: probability distribution

Wikipedia defines it as:

$$E[X]=\sum_{k=1}^n\left(x_kp_k \right)$$

You can also think of it as a weighted average since we must have:

$$\sum_{k=1}^n\left(p_k \right)=1$$

So, you essentially want to find the product of each pair, and then sum them all up. What do you find?
 
Re: probability distribution

MarkFL said:
Wikipedia defines it as:

$$E[X]=\sum_{k=1}^n\left(x_kp_k \right)$$

You can also think of it as a weighted average since we must have:

$$\sum_{k=1}^n\left(p_k \right)=1$$

So, you essentially want to find the product of each pair, and then sum them all up. What do you find?
$$
(1x0.3)+(2x0.15)+(3x0.35)+(4x0.2)=2.45$$

that was easy!
 
SSCtw.png
 

Similar threads

Replies
3
Views
2K
Replies
2
Views
3K
Replies
2
Views
4K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 14 ·
Replies
14
Views
4K
  • · Replies 7 ·
Replies
7
Views
7K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 1 ·
Replies
1
Views
2K