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Likurg_2 [28]
3 years ago
8

1.4 divide by 128.8 what is it but if want to help hurry please

Mathematics
1 answer:
Dima020 [189]3 years ago
7 0

Answer:

0.01086956521

Step-by-step explanation:

1.4 / 128.8 = 0.01086956521

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The Jones family and the Smith family both went out for a night at the movies. The Jones family bought 5 drinks and 2 bags of po
kolbaska11 [484]
It's simple. You have to subtract FIRST 18.75-5=13.75 for the Jones Family. Then you divide 13.75 by 2 bags of popcorn which equals $6.87 for the Jones Family.

For Smith Family, subtract 31.50-4=27.50. Then you divide 27.50 by 6 bags of popcorn which equals $4.58 


4 0
3 years ago
Determine in which quadrant the product of 5(cos3pi/8 + isin 3pi/8) and sqrt 2(cos pi/12 + sin pi/12) lies.
ohaa [14]
When you multiply two complex numbers given in polar form, the argument of the product is the sum of the arguments of the factors. Meanwhile, the modulus of the product is the product of the moduli of the factors.


In this case, you'd have

\dfrac{3\pi}8+\dfrac\pi{12}=\dfrac{11\pi}{24}

and the modulus would simply be 5\sqrt2. Since

\dfrac{11\pi}{24}

we would expect the final product to fall in the first quadrant.
6 0
3 years ago
a delivry truck is transporiting boxes of two sizes large and small the combined weight of a large box and a small box is 65 pou
Semenov [28]

Answer: S = 20 lbs L = 45 lbs.  Both answer have been rounded from below

Step-by-step explanation:

L+S = 65 lbs

55L + 65S = 3774 lbs

55L+55S = (65)(55) = 3,575 lbs

10S = 199 lbs

S = 19.99 (round to 20)

L + S = 65

L + 19.99 = 65

L = 45.01 (round to 45)

3 0
3 years ago
What is the surface area?<br> 9 ft<br> 6 ft<br> 3 ft<br> square feet
Vlada [557]

Answer:

the answer to this question is equal to 162

4 0
3 years ago
What is the variance?
kotegsom [21]

Answer:

Variance is the squared deviation and deviation is the difference of observed value from other values

Step-by-step explanation:

Variance is the squared deviation and deviation is the difference of observed value from other values

variance=\text({standard deviation})^2

Variance=\sum\frac{(x-\mu)^2}{N}

Where, \mu=\text{mean},N=\text{Number of sample space}


8 0
3 years ago
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