Probability of R1 & R2: Solve w/ Tree Diagram

  • Thread starter Thread starter crays
  • Start date Start date
  • Tags Tags
    Probability
Click For Summary
SUMMARY

The discussion focuses on calculating the probabilities of events R1 and R2 using a tree diagram approach. The user correctly identifies that P(R1 ∩ R2) is calculated as (5/30) * (4/29), resulting in a probability of 2/87. However, the user struggles with calculating P(R1 ∪ R2) and initially attempts to use the formula P(R1) + P(R2) - P(R1 ∩ R2), which leads to confusion regarding the value of P(R2). The solution suggests considering complementary probabilities for a more straightforward calculation.

PREREQUISITES
  • Understanding of basic probability concepts
  • Familiarity with tree diagrams for probability calculations
  • Knowledge of conditional probability
  • Ability to compute probabilities of combined events
NEXT STEPS
  • Study the principles of conditional probability in depth
  • Learn how to construct and interpret tree diagrams for complex probability scenarios
  • Explore complementary probability techniques for calculating union probabilities
  • Practice problems involving multiple events and their probabilities
USEFUL FOR

Students of probability theory, educators teaching probability concepts, and anyone looking to enhance their skills in calculating probabilities using tree diagrams.

crays
Messages
160
Reaction score
0
Hi, i have this question
A bag contains 5 red balls, 10 blue balls and 15 green balls. Three balls are drawn from the bag one after another without replacement. The event R1 , R2 , B2 and G3 are defined as follows.

R1 - represents the event the first ball drawn is red.
R2 - represents the event the second ball drawn is red.
B2 - represents the event the second ball drawn is blue.
G3 - represents the event the third ball drawn is green.

Find
a) i) P(R1 [tex]\cap[/tex] R2)

for this , i drew a tree diagram, for it to be red for the first ball, it has to be 5/30 and for the second to be red it has to be 4/29 thus multiplying them both would give me the answer which is 2/87.

ii) P(R1 [tex]\cup[/tex] R2)

for this i thought of P(R1) + P (R2) - P(R1 [tex]\cap[/tex] R2) would solve the problem but the answer is incorrect and later i see, i don't really know what's the probability of R2 because it could be 5/29 or 4/29.

Please help.
 
Physics news on Phys.org
You see the problem correctly. You could add up the separate cases i) first red, second not red, ii) first not red, second red and iii) both red. But it might be easier to notice that is equal to 1-(first not red)*(second not red).
 
You have this on another part of this site - look over there.
 

Similar threads

  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
6
Views
3K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
6K