Distribution of balls in a box (with a twist)

In summary, the conversation discusses the distribution of balls in a box with two different colors and sizes. The distribution is described as a weighted average of the PDF_red and PDF_blue, with weights proportional to the fraction of each color. This results in a "mixed distribution" or a "mixture distribution" where the size of the ball can be picked at random without knowing the color.
  • #1
Apteronotus
202
0
Suppose I have an box (set) containing two different colored balls, red and blue, say.

Now, suppose the balls differ in size, where the size of the red balls has one particular distribution and those of the blue another.

How can we describe the distribution of the balls in the box?
 
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  • #2
Your description is confusing. What has size got to do with the distribution?
 
  • #3
Apteronotus said:
Suppose I have an box (set) containing two different colored balls, red and blue, say.

Now, suppose the balls differ in size, where the size of the red balls has one particular distribution and those of the blue another.

How can we describe the distribution of the balls in the box?
It's a weighted average of the PDF_red and PDF_blue, with weights proportional to the fraction of each color:

PFD_total = (num_red/total_num) * PDF_red + (num_blue/total_num) * PDF_blue
 
  • #4
mathman said:
Your description is confusing. What has size got to do with the distribution?

I'm interested in the distribution of the sizes.
 
  • #5
FactChecker said:
It's a weighted average of the PDF_red and PDF_blue, with weights proportional to the fraction of each color:

PFD_total = (num_red/total_num) * PDF_red + (num_blue/total_num) * PDF_blue

So would it be a "mixed distribution"?
 
  • #6
Apteronotus said:
So would it be a "mixed distribution"?

It is a single distribution where a ball can be picked at random by a blind person and it would give the probability distribution of the size, without knowing the color. It combines the two distributions into one.
 
  • #7
Apteronotus said:
So would it be a "mixed distribution"?
Yes. That is called a "mixture distribution".
 

1. What is the "twist" in the distribution of balls in a box?

The twist refers to a unique aspect or condition that is added to the traditional distribution of balls in a box experiment. It can be any factor that affects the distribution of the balls, such as the shape of the box, the material of the balls, or the force applied during the experiment.

2. How does the twist affect the distribution of balls?

The twist can greatly impact the final distribution of balls in the box. It can result in a more even or uneven distribution, or even change the overall pattern of the balls. The twist can also make the experiment more complex and interesting.

3. What kind of data can be collected from a distribution of balls in a box experiment?

The experiment can produce various types of data, such as the number of balls in each section or row of the box, the distance between each ball, the number of balls touching each other, and the overall pattern of the balls. This data can be used to analyze and understand the distribution of the balls.

4. How is the distribution of balls in a box experiment useful in scientific research?

The distribution of balls in a box experiment is a fundamental and versatile method used in various scientific fields, such as physics, chemistry, and biology. It can be used to study the behavior and interactions of particles, the principles of randomness, and the effects of different variables on a system.

5. Can the distribution of balls in a box experiment be applied to real-world situations?

Yes, the principles and results from this experiment can be applied to real-world scenarios. For example, it can be used to understand the movement of molecules in a gas, the spread of diseases in a population, or the distribution of resources in an ecosystem. It can also be used in engineering and technology to optimize the placement and distribution of materials.

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