Which decimal number is equal to 1/8?

8_murik_8 [283]

You have 2 triangles and 3 rectangles.
Start with a triangle:
area is base side * height / 2 -> 4 * 3 / 2 = 6
The other triangle has the same area: 6

First rectangle: side * other side -> 7 * 5 = 35
Second rectangle: 7 * 4 = 28
Third rectangle: 7 * 3 = 21

Now simply add all this together: 6+6+35+28+21 = 96

5 0

3 years ago

A square ceiling has an area of 360 square feet. Alex wants to put molding around the entire perimeter of the ceiling. Approxima

Blababa [14]

Answer:

Option C is correct

76 feet

Step-by-step explanation:

Area of square(A) is given by:

$A =s^2$

where, s is the side of the square.

As per the statement:

A square ceiling has an area of 360 square feet.

⇒A = 360 square feet.

then;

$s^2 = 360$

⇒ $s = \sqrt{360} =18.973666$

Perimeter(P) of square is given by:

$P = 4s$

then;

$P = 4 \cdot 18.973666 = 75.894664 \approx 76 ft$

Therefore, 76 feet molding does he need.

7 0

4 years ago

Classify the triangle by its angles and sides

Vlad [161]

This is an Acute Isosceles Triangle. Hope this helps :)

6 0

3 years ago

Find the approximate difference in the area of the two circles shown below. Use 3.14 for pi.

Kobotan [32]

Answer:

b answer

Step-by-step explanation:

8 0

3 years ago

Suppose 52% of the population has a college degree. If a random sample of size 563563 is selected, what is the probability that

amm1812

Answer:

The value is $P(| \^ p - p| < 0.05 ) = 0.9822$

Step-by-step explanation:

From the question we are told that

The population proportion is $p = 0.52$

The sample size is n = 563

Generally the population mean of the sampling distribution is mathematically represented as

$\mu_{x} = p = 0.52$

Generally the standard deviation of the sampling distribution is mathematically evaluated as

$\sigma = \sqrt{\frac{ p(1- p)}{n} }$

=> $\sigma = \sqrt{\frac{ 0.52 (1- 0.52 )}{563} }$

=> $\sigma = 0.02106$

Generally the probability that the proportion of persons with a college degree will differ from the population proportion by less than 5% is mathematically represented as

$P(| \^ p - p| < 0.05 ) = P( - (0.05 - 0.52 ) < \^ p < (0.05 + 0.52 ))$

Here $\^ p$ is the sample proportion of persons with a college degree.

So

$P( - (0.05 - 0.52 ) < \^ p < (0.05 + 0.52 )) = P(\frac{[[0.05 -0.52]]- 0.52}{0.02106} < \frac{[\^p - p] - p}{\sigma } < \frac{[[0.05 -0.52]] + 0.52}{0.02106} )$