Answer:
-538.67 (2 d.p)
Step-by-step explanation:
4x +1612 = x - 4
4x -x = -1616
x = (-1616)÷3= -538.67 (2d.p)
Answer:
D: She can check to see if the rate of change between the first two ordered pairs is the same as the rate of change between the first and last ordered pairs.
Hope this helped! :)
Answer:
Step-by-step explanation:
If the number of defects in poured metal follows a Poisson distribution, the probability that x defects occurs is:
Where x is bigger or equal to zero and m is the average. So replacing m by 2, we get that the probability is equal to:
Finally, the probability that there will be at least three defects in a randomly selected cubic millimeter of this metal is equal to:
Where
So, P(0), P(1) and P(2) are equal to:
Finally, and are equal to:
Answer:
a)
b)
c)
Step-by-step explanation:
The problem states that there is a 97% probability that a parts inspected is classified correctly. So, there is a 3% probability that a part inspected is not classified correctly.
So
(A) x = 0, f(x) = ?
What is the probability that each part is not classified correctly?
There is a 0.0027% probability that no part is classified correctly
(B) x = 1, f(x) = ?
What is the probability that exactly one part is classified correctly?
We have to take into account that it may be the first part classified correctly, the second or the third. So we have to permutate. We have a permutation of 3 parts with 1(classified correctly) and 2(classified incorrectly) repetitions.
So
There is a 0.2619% probability that no part is classified correctly.
(C) x = 2, f(x) = ?
What is the probability that exactly two parts are classified correctly?
We also have the permutation of 3 parts with 2 and 1 repetitions.
So:
There is a 8.4681% probability that exactly two parts are classified correctly.
(D) x = 3, f(x) = ?
There is a 91.2673% probability that every part is classified correctly