Calculating theoretical probability

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Discussion Overview

The discussion revolves around calculating the theoretical probability related to the performance of newly developed drugs by a manufacturing company. Participants explore the appropriate probability distribution to model the scenario and seek to calculate the probability that at most three out of ten sampled drugs do not perform satisfactorily. The context includes theoretical probability and mathematical reasoning.

Discussion Character

  • Technical explanation, Mathematical reasoning, Debate/contested

Main Points Raised

  • Vicky presents a scenario where a drug is four times more likely to succeed than fail and asks for the type of probability distribution that fits this situation, along with the conditions it must satisfy.
  • Another participant questions whether the data is discrete or continuous and asks for known distributions in probability.
  • A later reply suggests that the problem can be approached by solving for the probability of success (p) using the relationship p = 4(1-p), indicating that the drugs are assumed to succeed or fail independently.
  • One participant proposes that the Binomial distribution would be suitable for addressing the problem.

Areas of Agreement / Disagreement

Participants have not reached a consensus on the specific probability distribution or the calculations involved. Multiple viewpoints regarding the approach to the problem are present.

Contextual Notes

There are unresolved assumptions regarding the independence of drug performance and the specific conditions required for the proposed distribution.

bhuv
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Hello All,

I have the following question in one of my tutorials. I need some help in resolving this.

Background: A manufacturing company developed 40000 new drugs and they need to be tested.
Question
The QA checks on the previous batches of drugs found that — it is 4 times more likely that a drug is able to produce a better result than not.
If we take a sample of ten drugs, we need to find the theoretical probability that at most three drugs are not able to do a satisfactory job.

a.) Propose the type of probability distribution that would accurately portray the above scenario, and list out the three conditions that this distribution follows.
b.) Calculate the required probability.Thanks,
Vicky
 
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bhuv said:
Hello All,

I have the following question in one of my tutorials. I need some help in resolving this.

Background: A manufacturing company developed 40000 new drugs and they need to be tested.
Question
The QA checks on the previous batches of drugs found that — it is 4 times more likely that a drug is able to produce a better result than not.
If we take a sample of ten drugs, we need to find the theoretical probability that at most three drugs are not able to do a satisfactory job.

a.) Propose the type of probability distribution that would accurately portray the above scenario, and list out the three conditions that this distribution follows.
b.) Calculate the required probability.Thanks,
Vicky
Which distributions do you know in probability? are we looking at discrete or continuous data?
 
This thread is four years old, I doubt the op is still working on it.

In case anyone else stumbles on this and is looking for guidance for a similar problem: if a drug is p to succeed and 1-p to fail, they tell us in the problem that p=4(1-p). You can solve for p from here. The question probably wants you to assume that the drugs each succeed or fail independently in your sample of ten.
 
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Likes   Reactions: chwala and Greg Bernhardt
...Binomial distribution would address this.
 

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