Not sure what i did wrong binomial probability

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Homework Help Overview

The discussion revolves around calculating the probability of passing a true-false examination with 22 items, where a student guesses on each question. The passing criterion is achieving at least 14 correct answers, and participants explore the binomial probability associated with this scenario.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the need to calculate the cumulative probability for achieving 14 or more correct answers, questioning whether to sum probabilities for all outcomes from 14 to 22. Some suggest using an online calculator or a Normal approximation as alternative methods.

Discussion Status

The discussion is active, with participants sharing different approaches, including the exact binomial calculation and the Normal approximation. There is recognition of the effectiveness of the approximation in this context, though some express a preference for exact calculations due to the specific threshold of 14 correct answers.

Contextual Notes

Participants note the potential for confusion regarding the threshold value for passing and the implications of using continuity corrections in the Normal approximation. The discussion reflects on the appropriateness of methods given the small sample size of 22 items.

mtingt
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In a 22-item true–false examination, a student guesses on each question.

If 14 correct answers constitute a passing grade, what is the probability the student will pass?

i did c(22,14)* (1/2)^14 * (1/2)^8
 
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You have to add in the probabilities for more than 14 correct guesses. Your answer is for exactly 14 correct.
 
so i would have to add every single probability up to 22?
is there any other way i could do this?
 
mtingt said:
so i would have to add every single probability up to 22?
is there any other way i could do this?

You can use an online calculator for p=0.5, n=22, x=14 and solve for [itex]P(X\geq x)[/itex]

http://stattrek.com/Tables/Binomial.aspx
 
mtingt said:
so i would have to add every single probability up to 22?
is there any other way i could do this?
You might also use a Normal approximation to the Binomial distribution.
 
awkward said:
You might also use a Normal approximation to the Binomial distribution.

The normal approximation gives p=0.1004 whereas the presumably exact binomial gives [itex](P(X\geq x)=0.1431[/itex] for x=14.

For the normal approximation I'm using mean 11 and [itex]SD = \sqrt {11(1-0.5)} = 2.345[/itex]
 
SW VandeCarr said:
The normal approximation gives p=0.1004 whereas the presumably exact binomial gives [itex](P(X\geq x)=0.1431[/itex] for x=14.

For the normal approximation I'm using mean 11 and [itex]SD = \sqrt {11(1-0.5)} = 2.345[/itex]
I get [itex]P(X \geq 13.5) = 0.1432[/itex] using the Normal distribution adjusted for continuity.
 
awkward said:
I get [itex]P(X \geq 13.5) = 0.1432[/itex] using the Normal distribution adjusted for continuity.

I did too, but when Ted Williams was told his 0.3995 batting average would go into the record books as 0.400, he said that wasn't really 0.400 and played through two final season games ending up with a 0.406 batting average. Is 13.5 a passing grade or is 14 a threshold value? I understand the continuity correction and it's fine for some applications but for n=22 and a "threshold" value, why not use an exact calculation? In either case, you will likely use tables or a calculator.

Having said that, it's closer than I would have thought, but I wouldn't have been comfortable without doing the exact approach.
 
Last edited:
I agree, in this case the approximation works better than we have any right to expect. Still, it's a useful tool to have around.
 

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