Help any one plz thank you

Mathematics

1 answer:

MatroZZZ [7]3 years ago

3 0

I believe its the first one, think of it like a mirror you would flip the shape which would do make x negative and y positive, sorry if im wrong

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The area of a certain desert desert one is five times the area of another desert desert 2 if the sum of their areas is 24, 000,

sweet-ann [11.9K]

4,000,000 and 20,000,000 miles²

let x be the area of one desert then 5x is the area of the other

sum = x + 5x = 24,000,000

6x = 24,000,000

divide both sides by 6

x = 4,000,000

one desert is 4,000,000 miles²

and the other is (5 × 4,000,000)= 20,000,000 miles²

8 0

4 years ago

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Derivative of this function<br> <br>Y= -7X³ -8X² +6X +3

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In general, the derivative of a single term Ax^(n) is A n x^(n-1) .

And the derivative of a sum of many terms is the sum of the derivatives
of the individual terms.

Using these two rules, the derivative (with respect to 'x') of the expression
in the question is . . .

<em> Y' = -21x² - 16x + 6</em>

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3 years ago

Will give brainliest no files plz

MAVERICK [17]

Answer:

Step-by-step explanation:

8 0

3 years ago

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Annual starting salaries in a certain region of the U. S. for college graduates with an engineering major are normally distribut

defon

Answer:

0.8665 = 86.65% probability that the sample mean would be at least $39000

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

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

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .