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tatuchka [14]
3 years ago
5

The prime factorization of 56

Mathematics
1 answer:
Liono4ka [1.6K]3 years ago
6 0
The prime factores are 7,2,2,2
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1). (-6p - 8) - (2p - 6) =
Alexeev081 [22]

Answer:

1.-8p-2

2.−4r−5

3.−7z−3

4.-3s-3

5. 1s

I got lazy to do the rest sorry :D

4 0
3 years ago
Equivalent expression to 3y+4-6y-2
olga55 [171]

Answer :   the answer is -3y + 2

3 0
4 years ago
Write an expression to show the sum of fourteen and triple eight.
katrin [286]
<span>14x8³

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hope this helps!!! :D
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8 0
3 years ago
The sum of three numbers is 72
LekaFEV [45]

Answer: <u><em>The first number is 8</em></u>

Step-by-step explanation: Let the three No. s be x, y and z respectively

given = x+ y+ z= 72

y=7x

z=7x-18

∴As we know x+ y+ z=72

i.e. x+7x+7x-18=72

15x=72+18=90

15x=90

x=90/15

∴x=8

∴y=7x

7×8=56

∴z=7x-18

56-18=38

∴<u><em>The first no. is x=8</em></u>

<u><em>The second no. is y=7x = 56</em></u>

<u><em>The third no. is z=7x-18 = 38</em></u>

6 0
3 years ago
Read 2 more answers
the marks in an examination for a Physics paper have normal distribution with mean μ and variance σ2 . 10% of the students obtai
ipn [44]

Answer:

The mean of the distribution is about 53.9 and standard deviation is about 16.5 marks.

Step-by-step explanation:

Use the trick of transforming the given random variable one that is standard normal distributed, aka a z-score, then look up the two percentile values in z-score tables to get two equations with two unknowns.

So, let x be the variable describing the marks of a student, and

z=(x-\mu)/\sigma

the standardized equivalent of that (mu - mean, sigma - standard deviation).

We are looking for values of mu and sigma. At this point we'd be out of luck, but, wait, we're given two bits of info: the 10% point (aka, 90th percentile) and the 20% point (can be interpreted as 100-20th percentile). For each point we can use z-score tables to look up the corresponding values of z (just search for z tables). I found:

z-score for the 10% point: z_10=1.28

z-score for the 20% point: z_20=-0.84

That gives us two equations:

z_{10}=1.28=(75-\mu)/\sigma\\z_{20}=-0.84=(40-\mu)\sigma

and can be solved for mu and sigma (do the work on your end, I am showing my result):

\mu=53.87\,\,,\,\, \sigma=16.51

The mean of the distribution is about 53.9 and standard deviation is about 16.5 marks.

3 0
3 years ago
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