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ira [324]
2 years ago
9

I need help wit this one

Mathematics
1 answer:
Vilka [71]2 years ago
4 0
The answer is LKN



Example




Doubly
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Marking brainliest <br><br> Don’t know what to write for the last 2
nlexa [21]

Answer:

Business, management, marketing and technology.

Engineering, manufacturing and industrial technology.

i am not sure but i hope it will help you.

please mark me as brainlest.

4 0
2 years ago
Please answer below :-)
Serjik [45]

Answer:

B. 88.8

Step-by-step explanation:

let x represent class y

(x+71.2)/2=80   multiply each side by 2

x+71.2=160      subtract 71.2 by both sides

x=88.8

or

trial an error

replace x with each of the numbers and see if it plugs in.

example:

(80.5+71.2)/2=80

151.7/2=80

75.85=80?

false. incorrect

another example:

(88.8+71.2)/2=80

160/2=80

80=80?

true. correct

7 0
2 years ago
Which graph shows the solution to the inequality −2(2x+3)≤26?
krok68 [10]

Answer:

x≥−8

Step-by-step explanation:

Step 1: Simplify both sides of the inequality.

−4x−6≤26

Step 2: Add 6 to both sides.

−4x−6+6≤26+6

−4x≤32

Step 3: Divide both sides by -4.

−4x/−4 ≤ 32/−4

x≥−8

5 0
2 years ago
And Acceleration
Ostrovityanka [42]

Answer:140

Step-by-step explanation:

6 0
2 years ago
The mean per capita income is 15,451 dollars per annum with a variance of 298,116. What is the probability that the sample mean
docker41 [41]

Answer: 0.5467

Step-by-step explanation:

Let X be the random variable that represents the income (in dollars) of a randomly selected person.

Given : \mu=15451

\sigma^2=298116\\\\\Rightarrow\ \sigma=\sqrt{298116}=546

Sample size : n=350

z-score : \dfrac{x-\mu}{\dfrac{\sigma}{\sqrt{n}}}

To find the probability that the sample mean would differ from the true mean by less than 22 dollars, the interval will be

\mu-22,\ \mu+22\\\\=15,451 -22,\ 15,451 +22\\\\=15429,\ 15473

For x=15429

z=\dfrac{15429-15451}{\dfrac{546}{\sqrt{350}}}\approx-0.75

For x=15473

z=\dfrac{15473-15451}{\dfrac{546}{\sqrt{350}}}\approx0.75

The required probability :-

P(15429

Hence, the required probability is 0.5467.

3 0
3 years ago
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