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Oliga [24]
2 years ago
5

Find the area of the rectangle:

Mathematics
2 answers:
kicyunya [14]2 years ago
7 0

Answer:

23.74 ft² is the answer

Step-by-step explanation:

Area of a rectangle = l × b

(8 + √3) × √6

(8 + 1.73) × 2.44

9.73 × 2.44

23.74 ft²

kumpel [21]2 years ago
6 0
10 ft and 2 because I did the math
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I need help pleaseeeee this is due tomorrow
sveta [45]

Another way of finding Surface Area is

  1. SA= 2LW+2LH+2HW

L= Length

W= Width

H= Height

the answer, and explained, would be this

2. SA= 2(12)(10)+2(12)(16)+2 (10)(16)

(<em>multiply</em>)

3. SA= 240 + 384 + 320

(<em>add</em>)

<em>The</em><em> </em><em>answer</em><em> </em><em>is</em><em>.</em><em>.</em><em> </em>

<em><u>SA</u></em><em><u>=</u></em><em><u>944ft3</u></em><em><u> </u></em>

7 0
3 years ago
NEED HELP PLZZZZZZZZ ! <br> HOW IS THIS POSIBLE <br><br> 5^10x0= 10^5x0<br> explain <br> PLZ
BaLLatris [955]

Answer: They all = 0 How?


Step-by-step explanation:


Anything in mulitplcation that is times by 0 will always equal to zero.


5^10X0 = 0


10^5X0 = 0


- R3KTFORGOOD ☕


4 0
3 years ago
Read 2 more answers
Consider a normal distribution with mean 21 and standard deviation 4. What is the probability a value selected at random from th
ankoles [38]

Answer:

P [ Z > 21 ] = 0,5   or   P [ Z > 21 ] = 50 %

Step-by-step explanation:

Normal Distribution N(21;4)

The question here is what is the area of the bell shape curve. As 21 is a mean for this distribution is in the middle of the bell, so values bigger than 21 will have a probability of 0,5, and values smaller than 21 will have the same probability 0,5. We must remember that the whole area under the curve has an area of 1 ( or 100% )

5 0
3 years ago
You study whether childhood adversity has an impact of stress levels as an adult. Given your data, the probability of the data g
Gnom [1K]

Answer:

8.5

Step-by-step explanation:

Bayes factor is the ratio of the likelihood of one particular hypothesis against the likelihood of the another hypothesis. Bayes factor can be interpreted as a measure of strength of evidence in favor of one theory among two competing theories.

Bayes Factor is defined as below:

\frac{likelihood of data given H1}{likelihood of data given H0}

H1 = alternative hypothesis

H0 = null hypothesis

Bayes Factor = 0.85/0.1 = 8.5

5 0
3 years ago
Select the correct answer from each drop-down menu.
kipiarov [429]

Answer:

I cant see the drop down menu

Step-by-step explanation:

8 0
2 years ago
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