Help Needed for Probability Problem - 2nd Year Economics Student

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Homework Help Overview

The discussion revolves around a probability problem related to a sample of students and their likelihood of pursuing a master's degree. The original poster seeks clarification on which probability law applies to their scenario involving a binomial distribution.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants discuss the application of the binomial distribution to calculate the probability of at least 10 out of 18 students pursuing a master's degree. Questions arise regarding the correctness of the provided mathematical expression and its implications.

Discussion Status

The conversation includes attempts to clarify the original poster's question and the validity of the mathematical approach suggested. Some participants express differing views on the accuracy of the calculations presented, indicating an ongoing exploration of the topic.

Contextual Notes

The original poster expresses concern about their English proficiency, which may affect their communication of the problem. There is also a focus on understanding the underlying principles of the binomial distribution in the context of the problem.

tunganhtr
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Hi, I am a 2nd year student in Economics. I have some difficulties with probability. Here is a problem that I cannot solve and I need some help.

It is supposed that only 50% of the students of a sample will go up to the level master. One chooses by chance 18 students.
Which is the probability so that at least 10 go up to the level master.

I want just to know in this exercise, which is the law of probability that one must apply.
Thank you for your assistance, and I'm so sorry for my bad English.
 
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\Large \sum_{x=10}^{18}(.5)^x(.5)^{18-x}
 
Thanks you very much for the answer. It helps me a lot !
:)
 
tunganhtr, I feel I really should point out to you that marcmtlca's answer is INCORRECT. It doesn't help you as much as you think.

(In fact,
\Large \sum_{x=10}^{18}(.5)^x(.5)^{18-x}
= \Large \sum_{x= 10}^{18}(.5)^{18}
= 9(.5)^{18}= 0.00004196
which is much too small.)

Do you remember why this is called a "binomial" distribution?
 

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