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Alex73 [517]
3 years ago
6

Explain why the difference of two polynomials will always be a polynomial

Mathematics
1 answer:
kobusy [5.1K]3 years ago
8 0
<span>They are finite sums of expressions of the form where a is a constant, x is the variable and k is a non-negative integer</span>
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3x - 4y = 18<br>x + 3y = -7​
Mnenie [13.5K]

Answer:

x=2, y=-3

Step-by-step explanation:

x+3y+-7

move variable to the right and -3y from each side

x+3y-3y=-7-3y

x= -7-3y

3x -4y=18

3(-7-3y)-4y=18

solve for y, distribute

-21-9y-4y=18

collect like terms

-21-13y=18

move constant and change sign

-13y=18+21

add

-13y=39

divide by -13

y= -3

substitute

x=-7-3(-3)

solve

x=2

4 0
3 years ago
Simple interest on a bank loan can be calculated by multiplying the principal times the interest rate times the time. In the for
diamong [38]

Answer:

simple interest

Step-by-step explanation:

this is because r is interest rate, p is principal, and t is time

5 0
2 years ago
Read 2 more answers
The ratio of orange crayons to purple crayons is 2/4if there are 64 orange crayons the box how many purple crayons are there in
lesya692 [45]

2/4=1/2 two is 2 times greater than one so what is two times greater that 64?

64x2=128

6 0
3 years ago
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Someone pls help me!! Asap
LiRa [457]

Answer: Its on paper I can't solve it

Step-by-step explanation:

6 0
3 years ago
Suppose the weights of seventh‑graders at a certain school vary according to a Normal distribution, with a mean of 100 pounds an
alex41 [277]

Answer:

We conclude that there is no change in the average weight since the implementation of a new breakfast and lunch program at the school.

Step-by-step explanation:

We are given the following in the question:

Population mean, μ = 100 pounds

Sample mean, \bar{x} = 98 pounds

Sample size, n = 35

Alpha, α = 0.05

Population standard deviation, σ = 7.5 pounds

First, we design the null and the alternate hypothesis

H_{0}: \mu = 100\text{ pounds}\\H_A: \mu < 100\text{ pounds}

We use one-tailed(left) z test to perform this hypothesis.

Formula:

z_{stat} = \displaystyle\frac{\bar{x} - \mu}{\frac{\sigma}{\sqrt{n}} }

Putting all the values, we have

z_{stat} = \displaystyle\frac{98 - 100}{\frac{7.5}{\sqrt{35}} } = -1.577

Now, z_{critical} \text{ at 0.05 level of significance } = -1.64

We calculate the p-value with the help of standard normal table.

P-value = 0.057398

Since the p-value is greater than the significance level, we fail to reject the null hypothesis and accept is.

We conclude that there is no change in the average weight since the implementation of a new breakfast and lunch program at the school.

3 0
3 years ago
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