Trouble understanding PMF tables

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SUMMARY

The discussion centers on understanding Probability Mass Function (PMF) tables in the context of a binomial distribution. The user is tasked with applying the PMF for a binomial random variable \(X\) with parameters \((2, u)\) and is advised to utilize Bayes' theorem and the law of total probability for further insights. Key concepts include the binomial distribution and its PMF, which are essential for solving the posed questions.

PREREQUISITES
  • Understanding of binomial distribution and its PMF
  • Familiarity with Bayes' theorem
  • Knowledge of the law of total probability
  • Basic probability concepts
NEXT STEPS
  • Study the properties of the binomial distribution and its PMF
  • Learn how to apply Bayes' theorem in probability problems
  • Explore the law of total probability in depth
  • Practice solving problems involving PMF tables
USEFUL FOR

Students studying probability theory, educators teaching statistics, and anyone looking to deepen their understanding of binomial distributions and PMF applications.

Longines
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Hello all, I'm back with another basic probability question:

View attachment 3283

I know that it involves Bayes theorem somewhere, but I don't understand this question at all!

Note: This isn't an assignment question or anything like that, it's just a textbook question that I need help with.

Thank you
 

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Hi,
Let's kick-off with question $(a)$. We have given that $X$ is a random variable such that conditionally on $\{U=u\}$, $X$ is binomial with parameters $(2,u)$.

Do you know the binomial distribution? If you do, you only need to apply it's PMF for question $(a)$.

Hint for question $(b)$: law of total probability.
 

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