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scoundrel [369]
2 years ago
8

Answer, please. I need help.

Mathematics
1 answer:
Ghella [55]2 years ago
7 0

Answer:

-8x^12

Step-by-step explanation:

When you have an exponent outside of parenthesis, it is raising everything in the parenthesis to that exponent (in this case, the third). The first step to solve this is to multiply the exponents in the parenthesis by 3. This is called the power of a power rule.

-2 is being raised to the first power. 1x3 = 3, and x is being raised to the fourth power. 4x3 = 12, so you now have:

-2^3x^12

You can simplify -2^3: -2 x -2 x -2 = -8

This leaves you with -8x^12

You can check this by putting -8x^12 and (-2x^4)^3 into a graphing calculator. You know that you simplified correctly if they show the same graphs.

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20 feet

hope this helps
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3 years ago
Please answer if correct you get brainiest
il63 [147K]

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1. A.) Blocks a river and creates a large lake

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8 0
2 years ago
Round to nearest tenth
Goshia [24]

Answer:

Step-by-step explanation:

this is exactly the same as the 1st one,  just  they put it in a different orientation.   sooo use law of cosines , where

QR = c

a = 12

b = 23

cos(120) = cos (P)

c = sq rt [ a^2+b^2﹣2*a*b*cos(P) ]

QR = sq rt [ 12^2 + 23^2 - 2* 12*23*cos(120) ]

QR = sq rt [ 144 + 529 - 552 * (-0.5 0 ]

QR = sq rt [ 673 + 276 ]

QR = sq rt [ 949 ]

QR = 30.8058

rounded to nearest 10th is

QR = 30.8  :)

6 0
2 years ago
Mathematical Statistics with Applications Help Homework
Mars2501 [29]

7.43: Let X denote the random variable for height and \overline X for the sample mean. Then if \mu is the mean of

So the probability that the difference between the sample and population means does not exceed 0.5 inch is

P(|\overline X-\mu|\le0.5) = P\left(\left|\dfrac{\overline X-\mu}{0.25}\right|\le\dfrac{0.5}{0.25}\right) = P(|Z|\le 2) \approx \boxed{0.95}

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7.44: For a sample of size <em>n</em>, the sample standard deviation would be \frac{2.5}{\sqrt n}. We want to find <em>n</em> such that

P(|\overline X-\mu| < 0.4) = 0.95

Comparing to the equation from the previous part, this means we would need

\dfrac{0.4}{\frac{2.5}{\sqrt{n}}} = 0.16\sqrt n = 2 \implies \sqrt n = 12.5 \implies n = 156.25

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3 years ago
z scores are useful because they:a. allow us to convert raw scores to mean scores, compare scores from different samples, and tr
Alla [95]

Answer:

they give us a sense of where a score falls in relation to the mean of its population (in terms of standard deviation of its population), 2) they allow us to compare scores from different distributions, and 3) they can be transformed into percentiles.

Step-by-step explanation:

3 0
3 years ago
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