Help! Troubleshooting a Technical Problem

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SUMMARY

The discussion focuses on troubleshooting probability calculations related to binomial distributions, specifically for "at least 40 occurrences" and "at most 30 occurrences." Participants emphasize the use of the normal approximation to the binomial distribution for simplifying calculations. Key concepts include the need for the mean and standard deviation of the binomial distribution, which are derived from the number of trials (n = 100) and the probability of success (p). The conversation highlights the importance of understanding these statistical principles for accurate probability assessments.

PREREQUISITES
  • Understanding of binomial distributions and their properties
  • Familiarity with normal approximation techniques
  • Knowledge of calculating mean and standard deviation for binomial distributions
  • Basic probability theory and Bernoulli trials
NEXT STEPS
  • Study the normal approximation to the binomial distribution
  • Learn how to calculate the mean and standard deviation of a binomial distribution
  • Explore z-score calculations and their applications in probability
  • Review statistical textbooks for detailed explanations of binomial and normal distributions
USEFUL FOR

Students in statistics, educators teaching probability theory, and data analysts working with binomial distributions will benefit from this discussion.

gtfitzpatrick
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Hi,
Trying to figure this out any ideas as to what I am doing wrong?
Thanks all
 

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You are using the expressions for "exactly 40 occurrences" and "exactly 30 occurrences". So when you did ##1 - P(40)## you've calculated the probability of "anything but 40".

The first question asks for "at least 40". That means 40, or 41, or 42, or ... up to 100. The probability of that would be P(40) + P(41) + P(42) + ... + P(100). Or 1 minus P(0) + P(1) + ... + P(39). Either way, it would be a lot of calculation to add up all those terms. So you're probably expected to use the normal approximation to the binomial distribution.

Does that ring a bell as something you were recently taught in class?

Similarly, part (ii) asks for "at most 30". That means 30, or 29, or 28, or... down to 0. Again, easier with the normal approximation.
 
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Hi,
Thanks a million for the response.
Do I not need the mean and the standard deviation, To calculate the z scores? Using the information i have is the only way can do by adding them all up?
 
gtfitzpatrick said:
Hi,
Thanks a million for the response.
Do I not need the mean and the standard deviation, To calculate the z scores

Yes. You have ##n = 100## Bernoulli trials, and the probability of "success" on each one is ##p##, which you know. You are interested in the distribution of the number of successes. That is a binomial random variable. Its mean and standard deviation are formulas in terms of ##n## and ##p##.

gtfitzpatrick said:
Hi,
Using the information i have is the only way can do by adding them all up?

Or by approximating as a normal random variable with the same mean and standard deviation.

Consult your textbook for "mean of a binomial distribution" and "standard deviation of a binomial distribution".
 

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