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Scilla [17]
3 years ago
6

Really need help! Click the picture to make it bigger

Mathematics
2 answers:
Rom4ik [11]3 years ago
6 0

Answer: 3/4 i think

Step-by-step explanation:

Inga [223]3 years ago
6 0

Answer:

3/4

Step-by-step explanation:

<h2>PLEASE MARK BRAINLIEST!!!!!!!!!!!!!!!!!!!!!!!!!</h2>
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6x1/4= ? (fractions)<br><br> 3x2/3 = ?
son4ous [18]
6x1/4=6/4=2/3
3x2/3=6/3=2
4 0
3 years ago
Read 2 more answers
A set of numbers is shown below: {0, 0.6, 2, 4, 6} Which of the following shows all the numbers from the set that make the inequ
Lorico [155]
The given equality hold true when x = 2.

Put x = 2 in inequality.

2(2) + 3 = 4+3 = 7 = R.H.S.

For x = 4 and 6, L.H.S(2x+3) is greater than 7.

Hence for x = 2, 4 and 6, the above inequality holds true.

Hope this helps!
3 0
3 years ago
Read 2 more answers
Hi please help me answer this!!
just olya [345]

The numbers that are irrational are B. √72 and D.√23.

<h3>What are irrational numbers?</h3>

Irrational numbers are those that have infinite numbers after the decimal. These numbers are also none repeating.

When the above are solved:

√25 = 5

√144 = 12

√23 = 4.79583152331...

√72 = 8.48528137424...

The only two numbers with non-repeating and infinite numbers are √72 and √23.

Find out more on irrational numbers at brainly.com/question/20400557

#SPJ1

7 0
1 year ago
.The table shows the relationship between the number of hours and pages read by Melissa. What is the constant of proportionality
stepan [7]
Can you show the table
If the line is going down then it’s negative I was going up it’s positive if the line is constant it’s a constant
The more hours that she read the more pages that she’s able to read
8 0
3 years ago
Read this E[2X^2 â€" Y].
djyliett [7]

Looks like a badly encoded/decoded symbol. It's supposed to be a minus sign, so you're asked to find the expectation of 2<em>X </em>² - <em>Y</em>.

If you don't know how <em>X</em> or <em>Y</em> are distributed, but you know E[<em>X</em> ²] and E[<em>Y</em>], then it's as simple as distributing the expectation over the sum:

E[2<em>X </em>² - <em>Y</em>] = 2 E[<em>X </em>²] - E[<em>Y</em>]

Or, if you're given the expectation and variance of <em>X</em>, you have

Var[<em>X</em>] = E[<em>X</em> ²] - E[<em>X</em>]²

→   E[2<em>X </em>² - <em>Y</em>] = 2 (Var[<em>X</em>] + E[<em>X</em>]²) - E[<em>Y</em>]

Otherwise, you may be given the density function, or joint density, in which case you can determine the expectations by computing an integral or sum.

6 0
3 years ago
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