Answer:
See below
Step-by-step explanation:
Let the number of Payday be p and Baby Ruth be b
<u>Then sub of the candy bars:</u>
- Payday candy bars worth ⇒ $2p
- Baby Ruth candy bars worth ⇒ $3b
- Total ⇒ $600
1. <u>Required equations:</u>
2. <u>Solving by substitution:</u>
p = 220 - b, consider it in the second equation
- 2(220 - b) + 3b = 600
- 660 - 2b + 3b = 600
- 660 + b = 600
- b = 660 - 600
- b = 60
60 Baby Ruth candy bars sold
Answer: 12.1 meters
Step-by-step explanation:
This is a rectangular fence so it represents a rectangle.
Fencing the garden will require going around it therefore you are looking for the perimeter.
Perimeter of a rectangle = (2 * Length) + ( 2 * Width)
= (2 * 315) + ( 2 * 290)
= 1,210 cm
Convert to meters:
A meter is 100 centimeters
= 1,210 / 100
= 12.1 meters
Step-by-step explanation:
(a) If his second pass is the first that he completes, that means he doesn't complete his first pass.
P = P(not first) × P(second)
P = (1 − 0.694) (0.694)
P ≈ 0.212
(b) This time we're looking for the probability that he doesn't complete the first but does complete the second, or completes the first and not the second.
P = P(not first) × P(second) + P(first) × P(not second)
P = (1 − 0.694) (0.694) + (0.694) (1 − 0.694)
P ≈ 0.425
(c) Finally, we want the probability he doesn't complete either pass.
P = P(not first) × P(not second)
P = (1 − 0.694) (1 − 0.694)
P ≈ 0.094
Ultimately Woodrow Wilson's preferred direction was not to get involved
with the internal affairs of the USA's near neighbors in Latin America.
However events unfolded that meant his governments ended up being as
interventionist as those of Teddy Roosevelt, for example occupying Haiti
and the Dominican Republic. These activities were not intended plans of
Wilson's in the way that Roosevelt set out to police Latin America but
nonetheless the impact was the same.
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Answer:
assume an approximate value for the variable that will simplify the equation.
solve for the variable.
use the answer as the second approximate value and solve the equation again.
repeat this process until a constant value for the variable is obtained.
