Answer:
youngest=115
middle=150
elder=230
Step-by-step explanation:
let the youngest be x
the middle will be x+35
the oldest will be 2x
x+x+35+2x=495
4x+35=495
4x=495-35
4x=460
x=115
since the youngest is x,the money he will receive is $115.
the middle will be x+35 which is equal to 115+35=$150.
lastly the oldest will be 2x which is equal to 2×115=$230.
Answer:
To get the solution, we are looking for, we need to point out what we know.
1. We assume, that the number 13 is 100% - because it's the output value of the task.
2. We assume, that x is the value we are looking for.
3. If 13 is 100%, so we can write it down as 13=100%.
4. We know, that x is 100% of the output value, so we can write it down as x=100%.
5. Now we have two simple equations:
1) 13=100%
2) x=100%
where left sides of both of them have the same units, and both right sides have the same units, so we can do something like that:
13/x=100%/100%
6. Now we just have to solve the simple equation, and we will get the solution we are looking for.
7. Solution for what is 100% of 13
13/x=100/100
(13/x)*x=(100/100)*x - we multiply both sides of the equation by x
13=1*x - we divide both sides of the equation by (1) to get x
13/1=x
13=x
x=13
now we have:
100% of 13=13
Step-by-step explanation:
Have A Wonderful Day !!
Answer:
D. 65 degrees
Step-by-step explanation:
If two sides are congruent the corresponding angles are also congruent
Answer:
Binomial probability, with 
Step-by-step explanation:
For each time Mookie Betts went to bat, there were only two possible outcomes. Either he got a base-hit, or he did not. The probability of getting a hit on each at-bat is independent of any other at-bat. This means that we use the binomial probability distribution to solve this question.
Binomial probability distribution
Probability of exactly x sucesses on n repeated trials, with p probability.
His average was 0.352.
This means that 
Assume he has five times at bat tonight in the Red Sox-Yankees game.
This means that 
a. This is an example of what type of probability
Binomial probability, with
