2.07(10.3)
4.02(6.8)
2.74(7.1)
5.9(3.92)
Answer:
it is the last one 5.9(3.92)
Step-by-step explanation:
i just took the exact same Assignment and got the question right soo....
D.) 5.9(3.92)
Explanation: (→ = estimated)
5.9 → 6
3.92 → 4
6 x 4 = 24
thus, D, 5.9(3.92), is your answer.
Answer:
The correct answer to the following question will be "No". The further explanation is given below.
Step-by-step explanation:
Probability (Keeping the disease out of 1 contact)
=
Probability (not keeping the disease out of 1 contact)
=
=
Now,
Probability (not keeping the disease out of 2 contact)
= Keeping the disease out of 1 contact × not keeping the disease out of 1 contact
On putting the estimated values, we get
=
=
So that,
Probability (Keeping the disease out of 2 contact)
=
=
∴ Not 100%
Answer:
712
Step-by-step explanation:
Hope this helps :D
Answer:
There is a 32.22% probability that at least 3 flights arrive late.
Step-by-step explanation:
For each flight, there are only two possible outcomes. Either it arrives on time, or it arrives late. This means that we can solve this problem using binomial probability concepts.
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.
In which is the number of different combinatios of x objects from a set of n elements, given by the following formula.
And is the probability of X happening.
In this problem, we have that:
There are 10 flights, so .
A success in this case is a flight being late. 80% of its flights arriving on time, so 100%-80% = 20% arrive late. This means that .
(a) Find the probability that at least 3 flights arrive late.
Either less than 3 flights arrive late, or at least 3 arrive late. The sum of these probabilities is decimal 1. This means that:
In which
So
Finally
There is a 32.22% probability that at least 3 flights arrive late.
The problem is solved by calculating the probability of the complementary event (0,1,2 flights arriving late) using the binomial distribution, then subtracting this from 1 to find the probability of at least 3 flights arriving late.
This problem is typically solved by using a binomial probability formula, which is used when there are exactly two mutually exclusive outcomes of a trial, often referred to as 'success' and 'failure'.
Here, our 'success' is a flight arriving late. The probability of success, denoted as p, is thus 20% or 0.2 (since 80% arrive on time, then 100%-80% = 20% arrive late). The number of trials, denoted as n, is 10 (the number of randomly selected flights).
We want to find the probability that at least 3 flights arrive late, in other words, 3,4,...,10 flights arrive late. The problem can be solved easier by considering the complementary event: 0,1,2 flights arrive late. Then subtract the sum of these probabilities from 1.
The binomial probability of exactly k successes in n trials is given by:
P(X=k) = C(n, k) * (p^k) * ((1-p)^(n-k))
Where C(n, k) is the binomial coefficient, meaning choosing k successes from n trials.
We calculate like so:
P(X=0) = C(10, 0) * (0.2)^0 * (0.8)^10
P(X=1) = C(10, 1) * (0.2)^1 * (0.8)^9
P(X=2) = C(10, 2) * (0.2)^2 * (0.8)^8
Sum these up and subtract from 1 to get the probability that at least 3 flights arrive late. This gives the solution to the question.
#SPJ3
Step-by-step explanation:
f is a parabola that opens upward.