Math Problem Statement
Selecting Balls from an Urn Without Replacement
Suppose that we are given an urn with 10 blue balls and 13 red balls. Two balls are chosen without replacement. Complete the following probability tree illustrating this situation.
Tree Diagrm Red and Blue Give the probabilities in each of the following positions in the tree above in reduced fractional form. 1.
Let the random variable X represent the total number of blue balls drawn. Complete the following table for the Probability Density Function (PDF) for this random variable. Enter exact answers in reduced fractional form and approximate answers in percentage form rounded to one decimal place.
X PDF(X) 0
% 1
% 2
%
Solution
To solve this problem systematically, let us break it into parts.
Tree Diagram:
The urn contains 10 blue balls and 13 red balls, giving a total of balls. When two balls are chosen without replacement, the probabilities for each path of the tree diagram can be calculated step-by-step.
First Draw:
- P(Blue on 1st Draw) =
- P(Red on 1st Draw) =
Second Draw (Conditional Probabilities):
-
If the first ball is blue ():
- P(Blue on 2nd Draw | Blue on 1st) =
- P(Red on 2nd Draw | Blue on 1st) =
-
If the first ball is red ():
- P(Blue on 2nd Draw | Red on 1st) =
- P(Red on 2nd Draw | Red on 1st) =
Tree Probabilities (Reduced Fractions):
Using the above probabilities, the outcomes in the tree are:
- Blue, Blue:
- Blue, Red:
- Red, Blue:
- Red, Red:
Random Variable :
The random variable represents the total number of blue balls drawn. The possible values of are , , or . Let us calculate the probabilities:
-
P(X = 0): No blue balls drawn (Red, Red):
In percentage: -
P(X = 1): Exactly one blue ball drawn (Blue, Red OR Red, Blue):
In percentage: -
P(X = 2): Both blue balls drawn (Blue, Blue):
In percentage:
PDF Table:
(Fraction) | (Percentage) | |
---|---|---|
0 | ||
1 | ||
2 |
Summary:
- Tree probabilities are computed as .
- PDF values for are .
Would you like to verify these calculations, or need help plotting the tree diagram?
Follow-Up Questions:
- Can you visualize how conditional probabilities are calculated in this context?
- Would you like a step-by-step breakdown for similar problems with more balls?
- How do percentages help in interpreting probabilities?
- Would you like to know how to calculate probabilities if balls were replaced?
- Can you use this method to calculate probabilities for larger urns?
Tip:
When solving without replacement, always adjust the total number of items for the second draw to reflect the reduced pool.
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Math Problem Analysis
Mathematical Concepts
Probability
Combinatorics
Random Variables
Probability Density Function (PDF)
Formulas
P(Event) = Favorable Outcomes / Total Outcomes
Conditional Probability: P(A | B) = P(A and B) / P(B)
Theorems
Law of Total Probability
Bayes' Theorem
Suitable Grade Level
Grades 9-12
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