Let X be the number of correct answers. X has the binomial distribution with n = 10 trials and success probability p = 0.5 .
In general, if X has the binomial distribution with n trials and a success probability of p then
P[X = x] = n!/(x!(n-x)!) * p^x * (1-p)^(n-x)
for values of x = 0, 1, 2, ..., n
P[X = x] = 0 for any other value of x.
The probability mass function is derived by looking at the number of combination of x objects chosen from n objects and then a total of x success and n - x failures.
Or, in other words, the binomial is the sum of n independent and identically distributed Bernoulli trials.
X ~ Binomial( n , p )
the mean of the binomial distribution is n * p = 5
the variance of the binomial distribution is n * p * (1 - p) = 2.5
the standard deviation is the square root of the variance = 鈭?( n * p * (1 - p)) = 1.581139
The Probability Mass Function, PMF,
f(X) = P(X = x) is:
P( X = 0 ) = 0.0009765625
P( X = 1 ) = 0.009765625
P( X = 2 ) = 0.04394531
P( X = 3 ) = 0.1171875
P( X = 4 ) = 0.2050781
P( X = 5 ) = 0.2460938
P( X = 6 ) = 0.2050781
P( X = 7 ) = 0.1171875
P( X = 8 ) = 0.04394531
P( X = 9 ) = 0.009765625
P( X = 10 ) = 0.0009765625
The Cumulative Distribution Function, CDF,
F(X) = P(X 鈮?x) is:
x
鈭?P(X = t) =
t = 0
P( X 鈮?0 ) = 0.0009765625
P( X 鈮?1 ) = 0.01074219
P( X 鈮?2 ) = 0.0546875
P( X 鈮?3 ) = 0.171875
P( X 鈮?4 ) = 0.3769531
P( X 鈮?5 ) = 0.6230469
P( X 鈮?6 ) = 0.828125
P( X 鈮?7 ) = 0.9453125
P( X 鈮?8 ) = 0.9892578
P( X 鈮?9 ) = 0.9990234
P( X 鈮?10 ) = 1
1 - F(X) is:
n
鈭?P(X = t) =
t = x
P( X 鈮?0 ) = 1
P( X 鈮?1 ) = 0.9990234
P( X 鈮?2 ) = 0.9892578
P( X 鈮?3 ) = 0.9453125
P( X 鈮?4 ) = 0.828125
P( X 鈮?5 ) = 0.6230469
P( X 鈮?6 ) = 0.3769531
P( X 鈮?7 ) = 0.171875
P( X 鈮?8 ) = 0.0546875
P( X 鈮?9 ) = 0.01074219
P( X 鈮?10 ) = 0.0009765625What's the probability of randomly guessing 8 correct answers out of 10 on a True and False test?
2/5What's the probability of randomly guessing 8 correct answers out of 10 on a True and False test?
I don't know if this helps, but I got something close to the answer.
(1/2) / 10 = .05 [one-half divided by ten equals five-hundredths]
Since there are only two choices on the test (True or False), you automatically have a 50% (1/2) chance of getting a question right.
There are 10 questions on the test.
We have to use the binomial distribution:
[(Probability Correct ^ # Correct) x (Probability Wrong ^ # Wrong)} * [# Questions! / # Correct!# Wrong!]
That last part with the ! is finding the total number of combinations of a given number of right and wrong you can have, the ! is a factoral, should be on your calculator.
So for 8 correct, in any order:
[(0.50 ^ 8) x (0.50 ^ 2)] * [10! / 2!8!] = 0.000977 * 45 = 4.40%
Now if it can be 8, 9, or 10 correct, then you are looking at adding in the probability of 9 or 10 correct:
[(0.50 ^ 9) x (0.50 ^ 1)] * [10! / 1!9!] = 0.000977 * 10 = 0.98%
(0.50 ^10) = 0.098%
So: 4.40% + 0.98% + 0.098% = 5.5%
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment