How to find the square root of a negative 100

1 answer:

3 0

The thing is, you can't find the square root of a negative number, no matter what. Here's why:

Finding the square root of a number is essentially just finding which number, when squared, ends up to the original number. If you square a negative number, you will get a positive number as the outcome.

But the square root of positive 100 is 10, if that helps you.

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Which statement is true regarding the graphed functions?

harina [27]

<h3>Answer: Choice A. f(0) = g(0)</h3>

This is because the red and blue lines cross at (0,-2). We don't really need to worry about the y coordinate here. For this problem, all we care about is the x coordinate, which is x = 0.

When x = 0, the outputs of each function f(x) and g(x) are both the same value. So that's why we can say f(0) = g(0). It's the same as saying f(x) = g(x) has the solution x = 0.

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3 years ago

What’s the reciprocal of -8

denpristay [2]

The reciprocal of -8 will be -1/8

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3 years ago

Math Help!!! Can someone please solve this?? I will give you Brainliest!

Burka [1]

Triangles PQR and PSR are right triangles, with both QR = SR = 5 (since these are radii of the circle R).

TR is also a radius of the circle, so TR = 5, making PR = 4 + TR = 9.

Because PQR and PSR are right triangles, we can compute the length of the missing side, which will be equal. By the Pythagorean theorem,

PQ^2 + QR^2 = PR^2

PQ^2 + 5^2 = 9^2

PQ^2 = 56

PQ = √56 = 2√14

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The weight of a product is normally distributed with a mean of four ounces and a variance of .25 squared ounces. What is the pro

ololo11 [35]

Answer:

$P(X>3.75)=P(\frac{X-\mu}{\sigma}>\frac{3.75-\mu}{\sigma})=P(Z>\frac{3.75-4}{0.5})=P(z>-0.5)$

And we can find this probability using the complement rule and we got:

$P(z>-0.5)=1-P(z$

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".

Solution to the problem

Let X the random variable that represent the weights of a population, and for this case we know the distribution for X is given by:

$X \sim N(4,\sqrt{0.25}=0.5)$