Respuesta :
The question is not properly typed! The complete question along with answer and explanation is provided below.
Question:
Compute the following binomial probabilities directly from the formula for P(x; n, p)
a. P(3; 8, 0.6)
b. P(5; 8, 0.6)
c. P(3 ≤ X ≤ 5) when n = 8 and p = 0.6
d. P(1 ≤ X) when n = 12 and p = 0.1
Answer:
a. P(3; 8, 0.6) = 0.1238
b. P(5; 8, 0.6) = 0.2786
c. P(3 ≤ X ≤ 5) = 0.6346
d. P(1 ≤ X) = 0.6589
Step-by-step explanation:
We know that a binomial distribution is given by
P(x; n, p) = nCx pˣ (1 - p)ⁿ⁻ˣ
Where x is the variable of interest, n is the number of trials and p is the probability of success and 1 - p is the probability of failure
a. P(3; 8, 0.6)
Here we have x = 3, n = 8 and p = 0.6
P(3; 8, 0.6) = 8C3*0.6³*(1 - 0.6)⁸⁻³
P(3; 8, 0.6) = 56*0.00221
P(3; 8, 0.6) = 0.1238
b. P(5; 8, 0.6)
Here we have x = 5, n = 8 and p = 0.6
P(5; 8, 0.6) = 8C5*0.6⁵*(1 - 0.6)⁸⁻⁵
P(5; 8, 0.6) = 56*0.004976
P(5; 8, 0.6) = 0.2786
c. P(3 ≤ X ≤ 5) when n = 8 and p = 0.6
Here 3 ≤ X ≤ 5 means we need P(3) + P(4) + P(5)
We have already calculated P(3) and P(5)
P(4) = 8C4*0.6⁴*(1 - 0.6)⁸⁻⁴
P(4) = 70*0.003317
P(4) = 0.2322
P(3 ≤ X ≤ 5) = 0.1238 + 0.2322 + 0.2786
P(3 ≤ X ≤ 5) = 0.6346
d. P(1 ≤ X) when n = 12 and p = 0.1
Here we have n = 12 and p = 0.1
P(1 ≤ X) means P(0) + P(1)
P(0) = 12C0*0.1⁰*(1 - 0.1)¹²⁻⁰
P(0) = 1*0.2824
P(0) = 0.2824
P(1) = 12C1*0.1¹*(1 - 0.1)¹²⁻¹
P(1) = 12*0.03138
P(1) = 0.3765
P(1 ≤ X) = P(0) + P(1)
P(1 ≤ X) = 0.2824 + 0.3765
P(1 ≤ X) = 0.6589