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iVinArrow [24]
3 years ago
13

Please please help me! all you smart math people please give me a hand​

Mathematics
1 answer:
Step2247 [10]3 years ago
5 0

Answer:

Step-by-step explanation:

...;3

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What is the length of the diagonal of a cube with a side length of 5 cm? Round to the nearest tenth. 7.1 cm 8.7 cm 21.3 cm 26.7
sesenic [268]
Diagonal of a cube formula: D=a√3  [a=side length]

D = 5√3 ≈ 8.7 cm.
6 0
3 years ago
Read 2 more answers
What is the area, in square meters, of the shaded part of the rectangle below?
Alik [6]

Answer:

<u>45.5 m²</u>

Step-by-step explanation:

<u>Area (Shaded) = Area (Rectangle) - Area (Trapezoid)</u>

  • Area (Shaded) = lb - 1/2 x (a + b) x h
  • Area (Shaded) = 17 × 13 - 1/2 × (10 + 17) × 13
  • Area (Shaded) = 13 (17 - 27/2)
  • Area (Shaded) = 13 × 7/2
  • Area (Shaded) = 91/2
  • Area (Shaded) = <u>45.5 m²</u>
4 0
2 years ago
Read 2 more answers
Please help me to answer this question.
Usimov [2.4K]

Answer:

£100.32

Step-by-step explanation:

→ In order to work out the multiplier from a increase, you have to add 100 to the percentage and then divide by 100 so,

14 + 100 = 114

114 ÷ 100 = 1.14

→ This means the decimal multiplier is 1.14, now all we do is multiply the multiplier by the cost

£88 × 1.14 = £100.32

5 0
3 years ago
If sample variance is computed by dividing SS by df = n – 1, then the average value of the sample variances from all the possibl
boyakko [2]

Answer:

s^2 = \frac{SS}{n-1}

And if we take the average value of the sample variances from all the possible random samples we will get the population variance:

\sigma =\frac{SS}{n}

So then the best answer for this case would be:

The average value of the sample variances from all the possible random samples will be exactly the population variance

Step-by-step explanation:

For this case we can define the sum of squares with this formula:

SS = \sum_{i=1}^n (X_i -\bar X)^2

Where:

\bar X =\frac{\sum_{i=1}^n X_i}{n}

And we can find the sample variance with this formula:

s^2 = \frac{SS}{n-1}

And if we take the average value of the sample variances from all the possible random samples we will get the population variance:

\sigma =\frac{SS}{n}

So then the best answer for this case would be:

The average value of the sample variances from all the possible random samples will be exactly the population variance

6 0
4 years ago
The box plot below represents some data set. What is the interquartile range (IQR) of
Mrac [35]

Answer:

IQR = 5

Step-by-step explanation:

the IQR is the difference between the upper quartile Q₃ and the lower quartile Q₁

Q₃ is the value at the right side of the box plot , that is

Q₃ = 51

Q₁ is the value at the left side of the box plot , that is

Q₁ = 46

then

IQR = Q₃ - Q₁ = 51 - 46 = 5

7 0
2 years ago
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