Y= -4x + 6 (-10, 46), (-1.11, 10.44),
y= -5x -4. (-10, 46)
whereas (-10, 46) is the solution for both equations, it is the correct choice
Answer:
10000*0.6065=6065
A. about 6,065
Step-by-step explanation:
Definitions and concepts
The Poisson process is useful when we want to analyze the probability of ocurrence of an event in a time specified. The probability distribution for a random variable X following the Poisson distribution is given by:

And the parameter
represent the average ocurrence rate per unit of time.
For this distribution the expected value is the same parameter
,
, 
Solution to the problem
We want "how many would have no blemishes" so first we need to find the probability that X=0, since X represent on this case the number of blemishes on each door. And if we use the mass function we got this:

And now since we have a total of 10000 doors painted we can find how many we would expect with no blemishes:
10000*0.6065=6065
A. about 6,065
Answer:
Step-by-step explanation:
Have a picture attached, if you can't see it, please let me know! If you have any questions don't be afraid to ask!
Answer:
x = 1/4
Step-by-step explanation:
Solve for x:
1 - 2 (1 - 2 x) = 0
Hint: | Distribute -2 over 1 - 2 x.
-2 (1 - 2 x) = 4 x - 2:
4 x - 2 + 1 = 0
Hint: | Group like terms in 4 x - 2 + 1.
Grouping like terms, 4 x - 2 + 1 = 4 x + (1 - 2):
4 x + (1 - 2) = 0
Hint: | Evaluate 1 - 2.
1 - 2 = -1:
4 x + -1 = 0
Hint: | Isolate terms with x to the left hand side.
Add 1 to both sides:
4 x + (1 - 1) = 1
Hint: | Look for the difference of two identical terms.
1 - 1 = 0:
4 x = 1
Hint: | Solve for x.
Divide both sides by 4:
Answer: x = 1/4