Answer:
Using the binomial distribution, it is found that
P(X > 3) = 0.0256
Step-by-step explanation:
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, with p probability.
[tex]P(X = x) = C_{n, x} * p^{x} (1 - p)^{n- x }[/tex]
[tex]C_{n, x}[/tex] is the number of different combinations of x objects from a set of n elements, given by:
[tex]C_{n, x} = \frac{n!}{p!(n - x)!}[/tex]
Binomial distribution:
- In this question, we have that n = 4, p = 0.4
- The desired probability is:
P(X > 3) = P(X = 4) since it above next whole number above 3
In which
[tex]P(X = x) = C_{n, x} * p^{x} (1 - p)^{n- x }[/tex]
[tex]P(X = 4) = C_{4, 4} * (0.4)^{4} (1 - 0.4)^{4 - 4}\\C_{4, 4} = \frac{4!}{4!(4 - 4)!}\\\\P(X = 4) = \frac{4!}{4!(0)!} * (0.4)^{4} (0.6)^{0}\\[/tex]
Then
P(X > 3) = P(X = 4)
P(X > 3) = 0.0256
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Given, n = 4, p = 0.4
in your calculator:
press 2nd - DISTR
scroll down to A: binompdf( - press enter
type in # of trials (n), P: (probability), and x value (successes)
press enter on Paste
press enter again
excel/sheets:
BINOMDIST(num_successes, num_trials, prob_success, cumulative)
=BINOMDIST(4, 4, 0.4, FALSE
A similar problem is given at brainly.com/question/15557838
I have also attached notes on The Binomial Distribution below
Let me know if you have any questions !
Hope this helps :)
