3 x 2 and 1/3? The answer is 7.
Answer:
72.69% probability that between 4 and 6 (including endpoints) have a laptop.
Step-by-step explanation:
For each student, there are only two possible outcomes. Either they have a laptop, or they do not. The probability of a student having a laptop is independent from other students. So we use the binomial probability distribution to solve this question.
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.
![P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}](https://tex.z-dn.net/?f=P%28X%20%3D%20x%29%20%3D%20C_%7Bn%2Cx%7D.p%5E%7Bx%7D.%281-p%29%5E%7Bn-x%7D)
In which
is the number of different combinations of x objects from a set of n elements, given by the following formula.
![C_{n,x} = \frac{n!}{x!(n-x)!}](https://tex.z-dn.net/?f=C_%7Bn%2Cx%7D%20%3D%20%5Cfrac%7Bn%21%7D%7Bx%21%28n-x%29%21%7D)
And p is the probability of X happening.
A study indicates that 62% of students have have a laptop.
This means that ![n = 0.62](https://tex.z-dn.net/?f=n%20%3D%200.62)
You randomly sample 8 students.
This means that ![n = 8](https://tex.z-dn.net/?f=n%20%3D%208)
Find the probability that between 4 and 6 (including endpoints) have a laptop.
![P(4 \leq X \leq 6) = P(X = 4) + P(X = 5) + P(X = 6)](https://tex.z-dn.net/?f=P%284%20%5Cleq%20X%20%5Cleq%206%29%20%3D%20P%28X%20%3D%204%29%20%2B%20P%28X%20%3D%205%29%20%2B%20P%28X%20%3D%206%29)
![P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}](https://tex.z-dn.net/?f=P%28X%20%3D%20x%29%20%3D%20C_%7Bn%2Cx%7D.p%5E%7Bx%7D.%281-p%29%5E%7Bn-x%7D)
![P(X = 4) = C_{8,4}.(0.62)^{4}.(0.38)^{4} = 0.2157](https://tex.z-dn.net/?f=P%28X%20%3D%204%29%20%3D%20C_%7B8%2C4%7D.%280.62%29%5E%7B4%7D.%280.38%29%5E%7B4%7D%20%3D%200.2157)
![P(X = 5) = C_{8,5}.(0.62)^{5}.(0.38)^{3} = 0.2815](https://tex.z-dn.net/?f=P%28X%20%3D%205%29%20%3D%20C_%7B8%2C5%7D.%280.62%29%5E%7B5%7D.%280.38%29%5E%7B3%7D%20%3D%200.2815)
![P(X = 6) = C_{8,6}.(0.62)^{6}.(0.38)^{2} = 0.2297](https://tex.z-dn.net/?f=P%28X%20%3D%206%29%20%3D%20C_%7B8%2C6%7D.%280.62%29%5E%7B6%7D.%280.38%29%5E%7B2%7D%20%3D%200.2297)
![P(4 \leq X \leq 6) = P(X = 4) + P(X = 5) + P(X = 6) = 0.2157 + 0.2815 + 0.2297 = 0.7269](https://tex.z-dn.net/?f=P%284%20%5Cleq%20X%20%5Cleq%206%29%20%3D%20P%28X%20%3D%204%29%20%2B%20P%28X%20%3D%205%29%20%2B%20P%28X%20%3D%206%29%20%3D%200.2157%20%2B%200.2815%20%2B%200.2297%20%3D%200.7269)
72.69% probability that between 4 and 6 (including endpoints) have a laptop.
Answer: x=90
Step-by-step explanation: 11 x 7.5 =90
Answer:
70
Step-by-step explanation:
First, set up the ratio of c:t, which is 12:8. Then set up your new ratio of c:t, which is 105:?. The way I find the easiest is to divide 105 by 12, which is 8.75, then multiply that by 8, which is 70. To check if it's right, just divide 12 by 8, and 105 by 70, and if they're the same number, you've got it right.
Ps. I'm guessing you meant to ask the minimum number of trucks, not cars.
jonas wants to mail a package that weighs 4.2 kilogram. how much dose the package weigh in pounds?
we know that
1 kg = 2.20462262185 lb
1 kg=2.2 lb
we have
4.2 kg
Convert to pounds
so
4.2 kg=4.2*(2.2)=9.24 pounds
therefore
the answer is 9.24 pounds