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podryga [215]
2 years ago
5

Find the net price if the $10.00 list price is discounted 10%.

Mathematics
2 answers:
yanalaym [24]2 years ago
4 0

Answer:

9.00

Step-by-step explanation:

MatroZZZ [7]2 years ago
3 0

Answer:

the new price would be $9.00

Step-by-step explanation:

%10 of 10 is 1

10-1=9

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How do you determine which variable is independent<br> and which one is independent?
Alex17521 [72]
Answer: An independent variable is exactly what it sounds like. It is a variable that stands alone and isn't changed by the other variables you are trying to measure. For example, someone's age might be an independent variable.
7 0
3 years ago
A square has an area of 64 square meters.
34kurt

Answer:

Side is 8 meters, Perimeter is 32 meters

Step-by-step explanation:

<em>One side </em>

Squares have 4 equal sides.  Area is found using l*w, but the sides are all equal in squares. Therefore, the area can be found using:

a=s^2

We know the area is 64, so we can substitute that in

64=s^2

Take the square root of both sides

\sqrt{64}=\sqrt{s^2}

8=s

One side is 8 meters

<em>Perimeter</em>

Squares have 4 equal sides, and the perimeter is all the sides added up.

p=s+s+s+s

We know the side is 8, so we can substitute that in

p=8+8+8+8

p=4*8

p= 32

The perimeter is 32 meters

8 0
3 years ago
If f(x) = 2x ^ 2 - 5 and g(x) = x ^ 2 - 4x - 8 find (f - g)(x)
choli [55]

Answer:  (f-g)(x) is equivalent to f(x) - g(x)

So that would be (2x²-5) - (x²-4x-8) = 2x² - x² + 4x + 8 - 5 = x² + 4x + 3

Hope this helps.

5 0
2 years ago
What is the slope of the line shown below? answer quick pls
AVprozaik [17]
A. 1the answer is A. 1
8 0
3 years ago
Assume the random variable X is normally distributed with mean mu equals 50 and standard deviation sigma equals 7. Compute the p
drek231 [11]

Answer:

The probability that <em>X</em> is less than 42 is 0.1271.

Step-by-step explanation:

The random variable <em>X </em>follows a Normal distribution.

The mean and standard deviation are:

E (X) = <em>μ</em> = 50.

SD (X) = <em>σ</em> = 7.

A normal distribution is continuous probability distribution.

The Normal probability distribution with mean µ and standard deviation σ is given by,

f_{X}(\mu, \sigma)=\frac{1}{\sigma\sqrt{2\pi}}e^{-(x-\mu)^{2}/2\sigma^{2}};\ -\infty

To compute the probability of a Normal random variable we first standardize the raw score.

The raw scores are standardized using the formula:

z=\frac{x-\mu}{\sigma}

These standardized scores are known as <em>z</em>-scores and they follow normal distribution with mean 0 and standard deviation 1.

Compute the probability of (X < 42) as follows:

P(X

*Use a <em>z</em>-table for the probability.

Thus, the probability that <em>X</em> is less than 42 is 0.1271.

The normal curve is shown below.

6 0
3 years ago
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