Conditional Probability of Baby Survival

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SUMMARY

The discussion centers on calculating the conditional probability of a baby's survival given that the delivery method is not a Cesarean section (C section). It establishes that 99% of all babies survive delivery, with a 10% occurrence of C sections, where survival rates drop to 98%. The solution involves applying Bayes' Theorem to derive the probability of survival for babies delivered vaginally, ultimately leading to the conclusion that the probability of survival for babies not delivered via C section is 99%.

PREREQUISITES
  • Understanding of conditional probability
  • Familiarity with Bayes' Theorem
  • Basic knowledge of probability notation and equations
  • Ability to interpret survival rates in statistical contexts
NEXT STEPS
  • Study advanced applications of Bayes' Theorem in medical statistics
  • Learn about the implications of survival rates in obstetrics
  • Explore probability distributions related to birth outcomes
  • Investigate the impact of delivery methods on neonatal health
USEFUL FOR

Students in statistics, healthcare professionals analyzing birth outcomes, and anyone interested in the application of probability in medical scenarios.

flemmyd
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Homework Statement


99% of all babies survive delivery. However, 10 % of all births involve Cesarean (C) sections, and when a C section is performed the baby survives 98% of the time. If a randomly chosen pregnant woman does not have a C section, what is the probability that her baby survives?

Homework Equations


P(E) = 1 - P(EC)
P(E U F) = P(E)+P(F)-P(EF)
P(E|F)=P(EF)/P(F)

The Attempt at a Solution


P(S) = .99 for baby survival
P(C) = .1 for C section
P(S|C) = .98 for babies surviving the C section
P(S|CC) = ??

So I tried P(S|CC) =P(SCC)/P(CC)
I know the dominator = .9. I tried solving for the numerator using:
P(SCC)= P(S)+P(C)-P(S U C), but at this point, I don't know what the P(S U C) is.
 
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thanks to everyone who read/tried to help out, but i figured out the answer.

I just needed Bayes Theorem

P(E|C)*P(C)=P(C|B)P(B)
 

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