P = 2L + 2W
L = W + 6
P = 2(W + 6) + 2W
P = 2W + 12 + 2W
P = 4W + 12
5 + 2(3x + 4) + x
5 + 6x + 8 + x
5 + 8 + 6x + x
13 + 7x Stop Don't go any further. That's the 11th commandment: Thou shalt not combine unlike terms.
Paul has a long drive. If Shelly waits up she better have some snacks
4*65 + x = 500 The x stands for the number of miles left to go
270 + x = 500 Subtract 280 from both sides
x = 500 - 270
x = 230
Just so you know if he keeps going at 65 mph the amount time will be
230/65 = 3.53 hours.
The graph of g(x) = f(-5x+10) is given in the figure.
<h3>What is a graph?</h3>
A diagram showing the relation between two variable quantities,each measured along one of a pair of axes at right angles.
It is given that f(x) = x^2
and g(x ) = f(-5x+10)
Now putting the value of f(x) in g(x) we get,
g(x) = f(-5x+10) = (-5x+10)^2
So, g(x) = (-5x+10)^2
now, making the table for g(x),
<u><em>x </em></u><u>g(x)</u>
0 100
1 81
2 0
3 25
4 100
5 225
Hence,the graph of g(x) = f(-5x+10) is given in the figure.
More about graph :
brainly.com/question/11616742
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We are given the following function and want to find the y-intercept:

Just substitute the value x=0 into the equation to find the value of the y-intercept:

Simplify

Simplify again

Since the value of f(x), or y, when x=0 is 66, the y-intercept of this function is 66.
Let me know if you need any clarifications, thanks!
~ Padoru
Answer:
the probability of no defects in 10 feet of steel = 0.1353
Step-by-step explanation:
GIven that:
A roll of steel is manufactured on a processing line. The anticipated number of defects in a 10-foot segment of this roll is two.
Let consider β to be the average value for defecting
So;
β = 2
Assuming Y to be the random variable which signifies the anticipated number of defects in a 10-foot segment of this roll.
Thus, y follows a poisson distribution as number of defect is infinite with the average value of β = 2
i.e

the probability mass function can be represented as follows:

where;
y = 0,1,2,3 ...
Hence, the probability of no defects in 10 feet of steel
y = 0


P(y =0) = 0.1353