Bionomial Probability Distribution

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SUMMARY

The discussion focuses on calculating probabilities using the Binomial Probability Distribution with parameters n=5 and p=0.40. For event a (x=1), the probability was calculated using the formula P(x) = nCx * p^x * (1-p)^(n-x), resulting in approximately 1.55184557. For event b (x=2), the correct application of the binomial formula was emphasized, specifically the need to raise p and (1-p) to the appropriate powers. The discussion highlights the importance of using the binomial coefficient and correctly applying the formula for accurate probability results.

PREREQUISITES
  • Understanding of Binomial Probability Distribution
  • Familiarity with factorial notation and calculations
  • Knowledge of probability concepts (success and failure probabilities)
  • Basic calculator skills for statistical functions
NEXT STEPS
  • Learn how to calculate binomial coefficients using the formula \binom{n}{r} = n! / (r!(n-r)!)
  • Explore the use of statistical calculators for binomial probability calculations
  • Study the implications of varying the parameters n and p in binomial distributions
  • Investigate real-world applications of binomial probability in fields like quality control and risk assessment
USEFUL FOR

Students, statisticians, and data analysts who need to understand and apply the Binomial Probability Distribution in various scenarios.

PARAJON
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I need help on this problem.. my answer that i get is the following for A, but I'm not sure. can you help me with a and b. thank you...;.


In a binomial situation n=5 and pie = .40 Determine the probabilities of the following events using the binomial formula.


a. x = 1
n = 5



P (x) = nCx x (1 - ) n - x


P (1) = 5!
1! (5-1)! 1 (.40) 1 (1-.40) 5-1

120 (.40) 1 (.60) 4

Answer 1.55184557





b. x = 2
n =5
 
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The probability of an event lies between 0 and 1. You've got 5 choose 1 as 5!1!, when it's 5, and the 1 and 4 should be powers you're raising 0.4 and 0.6 to.

If the probability of a success on trial is p (and q=1-p), then the probability of r successes in n trials is:

\binom{n}{r}p^rq^{n-r}

where

\binom{n}{r} = \frac{n!}{r!(n-r)!}

and is available as a button on your calculator
 

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