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3 years ago

The equation y = 5x represents a proportional relationship. what is the constant of proportionality

Mathematics

1 answer:

balandron [24]3 years ago

6 0

Answer:

the constant of proportionality is 5-D

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I need to know the new coordinates

a_sh-v [17]

A(1,2.5)
B(1,0)
C(2,0)

8 0

3 years ago

Calculate the account balance for $800 left on deposit for 255 days earning 5.25% compounded daily.

Svetradugi [14.3K]

The value would be 829.89.

The formula we use is

$A=p(1+\frac{r}{n})^{nt}$ ,

where A is the total amount, p is the principal, r is the rate expressed as a decimal number, n is the number of times per year the interest is compounded, and t is the number of years.

We will use 800 for p; 5.25/100 = 0.0525 for r; 365 for n; and (255/365) for t (since it is not a full year):
$A=800(1+\frac{0.0525}{365})^{\frac{255}{365}\times365}
\\
\\=800(1+\frac{0.0525}{365})^{255}=829.89$

3 0

3 years ago

4.6(x - 3) = -0.4x + 16.2

kolbaska11 [484]

Hey!

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Steps To Solve:

4.6(x - 3) = -0.4x + 16.2

~Distributive property

4.6x - 13.8 = -0.4x + 16.2

~Add 0.4 to both sides

4.6x - 13.8 + 0.4= -0.4x + 16.2 + 0.4

~Simplify

5x - 13.8 = 16.2

~Add 13.8 to both sides

5x - 13.8 + 13.8 = 16.2 + 13.8

~Simplify

5x = 30

Divide 5 to both sides

5x/5 = 30/5

~Simplify

x = 6

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Answer:

$\large\boxed{x~=~6}$

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Hope This Helped! Good Luck!

8 0

3 years ago

Read 2 more answers

Test scores are normally distributed with a mean of 500. Convert the given score to a z-score, using the given standard deviatio

Bond [772]

Answer:

The percentage of students who scored below 620 is 93.32%.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

In this question, we have that:

$\mu = 500, \sigma = 80$