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Basile [38]
3 years ago
13

I need help, 15 points!

Mathematics
1 answer:
Ira Lisetskai [31]3 years ago
7 0

Answer:

3(a + 5b + 7c) and 2x(2 + 5y + 11z)

Step-by-step explanation:

3a + 15b + 21c

3(a + 5b + 7c)

4x + 10xy + 22xz

2x(2 + 5y + 11z)

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Rename the fraction 1/4 using the least common denominator,12
kiruha [24]

Answer:

3/12

Step-by-step explanation:
to rename the fraction with the common denominator of 12, u have to multiply 1/4 by 3/3 to get 3/12. You can check ur answer by simplifying your answer. 3/12=1/4

4 0
2 years ago
Read 2 more answers
Which represents a side length of a square that has an area of 450 square inches?
amm1812

The formula of an area of a square:


A=a^2


a - a side


We have A=450\ in^2


substitute:


a^2=450\to a=\sqrt{450}\\\\a=\sqrt{225\cdot2}\\\\a=\sqrt{225}\cdot\sqrt2\\\\\boxed{a=15\sqrt2\ in}


Used:

\sqrt{a\cdot b}=\sqrt{a}\cdot\sqrt{b}

5 0
3 years ago
Sue charges $15 per hour for the first hour of babysitting and $10 for each additional hour, with each fraction of an hour count
Iteru [2.4K]

Answer:

12:06

Step-by-step explanation:

Gwendolyn Logan is not happy with you cheating.

3 0
3 years ago
Read 2 more answers
Order the numbers from least to greatest.<br><br> 0.70, 0.701, 0.71, 0.078
pishuonlain [190]

Answer:

0.078,0.70,0.701,0.71

5 0
2 years ago
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Suppose you take a simple random sample of size n=175 from the population of Reese's Pieces, still assuming that 45% of this pop
Gnesinka [82]

Answer:

The  probability is  P(0.35

Step-by-step explanation:

From the question we are told that

  The sample size is  n =  175

   The population proportion is  p =  0.45

   

Generally the mean of the sampling distribution is  \mu_{x} =  0.45

 Generally the standard deviation is mathematically represented as  

        \sigma_{x} =  \sqrt{\frac{p (1-p)}{n} }

=>      \sigma_{x} =  \sqrt{\frac{0.45 (1-0.45)}{175} }

=>      \sigma_{x} = 0.0376

Generally the probability of  that the sample proportion of orange candies will be between 0.35 and  0.55 is  

      P(0.35 <  X < 0.55) =  P( \frac{0.35 - 0.45}{0.0376} <  \frac{X -\mu_{x}}{\sigma_{x}}  <  \frac{0.55 - 0.45}{0.0376} )

=>   P(0.35

Generally \frac{X - \mu_{x}}{\sigma_{x}}  =  Z  (The \  standardized \  value \  of  X)

So

    P(0.35

=>  P(0.35

From the z-table  

    P(  Z< 2.6595 ) = 0.99609

and

    P(  Z< - 2.6595 ) = 0.0039128

So

   P(0.35

=> P(0.35

3 0
3 years ago
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