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Lina20 [59]
3 years ago
12

The length of a rectangle is three inches longer than its width. If the area is 88 in^2, find the dimensions of the rectangle.

Mathematics
1 answer:
nordsb [41]3 years ago
6 0

Answer:

it's your answer plz make barinly least

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Someone help!! 20 points to whoever can help me with this problem and give me the correct reasoning
MrMuchimi

Answer:

80

Step-by-step explanation:

180-(60+40)=180-60-40=180-100=80

4 0
2 years ago
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Hannah wants to rewrite 18+12 using the greatest common factor and the distributive property. Which expression should she write?
grigory [225]

Answer:

6(3+2)

Step-by-step explanation:

Distributive property:

ab + ac = a(b+c)

where a = greatest common factor (GCF)

GCF of each factor

18 = 2×3×3

12 = 2×2×3

GCF of 18 and 12 = 2×3

= 6

Therefore,

18 + 12 = 6(3) + 6(2)

= 6(3+2)

Where,

6 = a

3 = b

2 = c

ab + ac = a(b+c)

7 0
2 years ago
The surface area of 3ft, 7ft, 2ft
Xelga [282]

Answer: 82 ft squared

Step-by-step explanation: The surface area is 2( wl + hl + hw)

so the width is 2 the length is 7 and the height is 3

so it's 2( 14 + 21 + 6) = 2(41) = 82

6 0
3 years ago
What is the length of chord in O below?
victus00 [196]
Can you add the picture so im able to see and help :)
7 0
3 years ago
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Consider a data set containing the following values: 70 65 71 78 89 68 50 75 The mean of the preceding values is 70.75. The devi
Leokris [45]

Answer:

If this is the sample data, the sample variance is 125.07 and the sample standard deviation is 11.18

If this is a population data, the population variance is 109.44 and the population standard deviation is 10.46

Step-by-step explanation:

We are given the following data-set:

70, 65, 71, 78, 89, 68, 50, 75

Deviations from the mean

–0.75, –5.75 , 0.25, 7.25, 18.25, –2.75, –20.75, 4.2

Sample size, n = 8

Sample:

\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n-1}}  

where x_i are data points, \bar{x} is the mean and n is the number of observations.

Sum of squares of differences =

0.5625 + 33.0625 + 0.0625 + 52.5625 + 333.0625 + 7.5625 + 430.5625 + 18.0625 = 875.5

s = \sqrt{\dfrac{875.5}{7}} = 11.18

\text{ Sample variance} = s^2 = 125.07

Population:

\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n}  

where x_i are data points, \bar{x} is the mean and n is the number of observations.

Sum of squares of differences =

0.5625 + 33.0625 + 0.0625 + 52.5625 + 333.0625 + 7.5625 + 430.5625 + 18.0625 = 875.5

\sigma = \sqrt{\dfrac{875.5}{8}} = 10.46

\text{ Population variance} = \sigma^2 = 109.44

7 0
3 years ago
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