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3 years ago

Find the perimeter of a rectangle that is 3 inches long and 4 inches wide.

Mathematics

2 answers:

vredina [299]3 years ago

5 0

Answer:

Perimeter of the rectangle = $14 inch^2$

Step-by-step explanation:

The Perimeter of a Rectangle is the total length of its boundaries where two sides are of length and two sides are of its width.

Length of the rectangle= $3 inches$

Width of the rectangle= $4 inches$

Perimeter of the rectangle = $2(L+B)$

$= 2(3+4)\\ = 2*7$

$=14 inch^2$

The Perimeter of the rectangle is $14 inch^2$

katen-ka-za [31]3 years ago

4 0

Answer:

14 inches

Step-by-step explanation:

Perimeter of a rectangle

= 2(l + w)

Given length L = 3 inches and

Width w = 4 inches

Perimeter = 2(3 + 4)

Simplify the bracket

2 x 7

14 inches

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The circular opening of a vase has an inside diameter of 13.5 cm.

Sunny_sXe [5.5K]

Answer:

$Area = 143cm^2$

Step-by-step explanation:

Given

Shape: Opening of a circular vase

$Diameter =13.5cm$

$\pi = 3.14$

Required

Determine the area

This opening implies a circle; hence the area will be calculated using area of a circle.

$Area = \pi r^2$

Solve for radius (r)

$r = \frac{d}{2}$

$r = \frac{13.5\ cm}{2}$

$r = 6.75\ cm$

Substitute 6.75 for r in $Area = \pi r^2$

$Area = 3.14 * 6.75^2$

$Area = 143.06625$

$Area = 143cm^2$ --- Approximated

4 0

3 years ago

Put these in order of size smallest first 0.8 30% 3/5

Bad White [126]

30% , 3/5 , 0.8 Checking: 30%=30% 3/5=60% 0.8=80%

7 0

3 years ago

What is the probability that the mean duration of the 24 rowers with idna exceeds 63 minutes?

statuscvo [17]

Answer:

Step-by-step explanation:

Given that: Training-session duration of female rowers with normal iron status is Normally distributed, with mean 69 minutes and standard deviation 18minutes.

Solution:

z score shows the relationship between sample means. The z score is used to determine by how many standard deviations the raw score is above or below the mean. It is given by the formula:

$z=\frac{x-\mu}{\sigma}\\\\for\ sample(n):\\\\z=\frac{x-\mu}{\sigma/\sqrt{n} } \\\\where\ \mu=mean,\sigma=standard\ deviation,x=raw\ score$