What is the sum of (7x - 6y) and (x plus y)

1 answer:

3 0

Heya user

we have

7x - 6y and x + y

according to the question

( 7x - 6y ) + ( x + y )

→ 7x - 6 y +x + y

→ 8x - 5y

Hope This helps you

You might be interested in

Tanya finds 22 leaves Maurice finds 5 more leaves than Tanya finds how many leaves do the two children find

Mila [183]

Answer:

22 + 27 = 49

:) :)

8 0

3 years ago

Read 2 more answers

preciso responder essa questão rapido ja tentei de varias formas e nao consegui então vim buscar ajuda espero que olhem e respon

Airida [17]

Answer:

1/ 14336

..... ..... ...... ......

3 0

3 years ago

Please help!! Solve each inequality. Graph and check your solution. t -5 ≥ -13

Kisachek [45]

T= -8 because -8-5 equals -13

7 0

3 years ago

A report published by the Federal Reserve Bank of New York in 2012 reported the results of a nationwide study of college student

Degger [83]

Answer:

The proportion of borrowers who owe more than 54,000 is 0%.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Researchers found that the average student loan balance per borrower is $23,300.

This means that $\mu = 23300$

They also reported that about one-quarter of borrowers owe more than $28,000.

This means that the 1 subtracted by the p-value of Z is 0.25 when X = 28000, that is, when X = 28000, Z has a p-value of 0.75, so when X = 28000, Z = 0.675. We use this to find $\sigma$

$Z = \frac{X - \mu}{\sigma}$

$0.675 = \frac{28000 - 23300}{\sigma}$