How Can We Analyze an Exam with Varying Multiple Choice Options?

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SUMMARY

The discussion focuses on analyzing a multiple-choice exam with varying numbers of answer options per question. It establishes that a standard exam with 20 questions and 4 choices can be modeled using a Binomial distribution, specifically Binomial(20, 0.25). For exams with questions offering 2, 3, or 4 choices, participants suggest using a Multinomial distribution to group questions based on their number of possible answers. The conversation also touches on the importance of terminology, correcting a misinterpretation of the term "generalizing."

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WWGD
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If we had a multiple choice exam with , say, 20 questions, with 4 choices for each question, we can analyze it as a Binomial(20, .25). What if instead , some of the questions offered 2,3, 4, etc., choices? Is there a " nice" way of analyzing the exam as a whole?
 
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Is it genitalizing or generalizing? :-p
 
Frabjous said:
Is it genitalizing or generalizing? :-p
I'm almost certain he meant "generalizing." I have changed the title to suit my assumption.
 
Mark44 said:
I'm almost certain he meant "generalizing." I have changed the title to suit my assumption.
It is now a less interesting thread. :cry:
 
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WWGD said:
If we had a multiple choice exam with , say, 20 questions, with 4 choices for each question, we can analyze it as a Binomial(20, .25). What if instead , some of the questions offered 2,3, 4, etc., choices? Is there a " nice" way of analyzing the exam as a whole?
Multinomial distribution? You could group the questions by their number of possible answers.
 
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Frabjous said:
Is it genitalizing or generalizing? :-p
Maybe PFs auto correct is a pervert.
 
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