Probability of Guessing game outcome

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Mr. Keller has a 0.61 probability of correctly guessing the outcome of each NCAA tournament game. To find the probability of him picking all 32 first-round games correctly, the binomial distribution formula is used. The correct formula is P(x) = {n choose x} p^x (1-p)^(n-x), where n is the number of games, p is the probability of a correct guess, and x is the number of correct guesses. Inputting these values into a calculator should yield a result around 10^-7. Understanding this formula is crucial for accurately calculating the probability of Mr. Keller's perfect bracket.
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Homework Statement



Mr. Keller filled out a bracket for the NCAA national tournament, based on his knowledge of college basketball, he has a .61 probability of guessing anyone game correctly.

What is the probability Mr. Keller will pick all 32 of the first round games correctly?

Homework Equations



Binomial distribution?

The Attempt at a Solution



This class is a calculator course, so I don't know any of the algebraic theory, but I try to plug it into my binomialpdf on my calculator and it's not coming out correctly, how would I calculate this?
 
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RyanTAsher said:

Homework Statement



Mr. Keller filled out a bracket for the NCAA national tournament, based on his knowledge of college basketball, he has a .61 probability of guessing anyone game correctly.

What is the probability Mr. Keller will pick all 32 of the first round games correctly?

Homework Equations



Binomial distribution?

The Attempt at a Solution



This class is a calculator course, so I don't know any of the algebraic theory, but I try to plug it into my binomialpdf on my calculator and it's not coming out correctly, how would I calculate this?
What buttons on your calculator have you been taught to press?
 
The binomial distribution looks something like:
if x is the number of correct guesses and p is the probability of a correct guess, then the probability of x correct guesses out of n tries P(x) can be written:
*edited, thank you to Ray for pointing it out*
##P(x) =\left( \begin{array}{c} n \\ x \end{array}\right) p^x(1-p)^{n-x}##
Your input for the calculator might be something like shown here where you input [n= number of trials, p=probability of correct, x = #correct].
If the output is anything close to correct, it would be the same as if you calculated the formula for P(x).
In this case, it should give something near ##10^{-7}##.
 
Last edited:
RUber said:
The binomial distribution looks something like:
if x is the number of correct guesses and p is the probability of a correct guess, then the probability of x correct guesses out of n tries P(x) can be written:
##P(x) = p^x(1-p)^{n-x}##
Your input for the calculator might be something like shown here where you input [n= number of trials, p=probability of correct, x = #correct].
If the output is anything close to correct, it would be the same as if you calculated the formula for P(x).
In this case, it should give something near ##10^{-7}##.

The formula above is wrong; it should be
P(x) = {n \choose x} p^x \, (1-p)^{n-x},
where ##{n \choose x}## is the binomial coefficient "n choose x".
 
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