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3 years ago

Find the unknown side length of the rectangle if its area is 11m 2. 3 m ? 11 m

Mathematics

1 answer:

dexar [7]3 years ago

4 0

Answer:

the side length is 3.

Step-by-step explanation:

you would do 11/3 2/3

and you would get 3

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The graph of a function h is shown below find h(2).

Fantom [35]

Answer:

i cant really see it but i think the answer is 5

Step-by-step explanation:

when you look at the graph go to where x is 2 then keep going up and whatever point it hits thats the answer

3 0

2 years ago

Identify the angle between 0 and 360 degrees that is coterminal with the

Andrei [34K]

Answer:

option 2

Step-by-step explanation:

By repeatedly subtracting 360° from the given angle.

1155° - 360° = 795°

795° - 360° = 435°

435° - 360° = 75° ← coterminal angle

4 0

3 years ago

The sum of 18 +45 is a multiple of which sum?

forsale [732]

Answer:

B. (2 + 5).

Step-by-step explanation:

18 + 45 = 63

The prime factors of 63 = 3*3*7

So 63 is a multiple of 7.

The answer is (2 + 5) (=7).

6 0

3 years ago

Can someone help me ASAP with these two postulate questions? I will mark Brainliest if right!!! Explain!!!

Over [174]

Answer:

I'm pretty sure if sorry

8 0

3 years ago

A study of the relationship between age and various visual functions (such as acuity and depth perception) reported the followin

maks197457 [2]

Answer:

(a) $\sum x_i=56.68$ and $\sum x_i^2=197.46$

(b) The sample variance is $s^2=0.530$ and the sample standard deviation is $s=0.728$

Step-by-step explanation:

(a)

The sum of these 17 sample observations is

$\sum x_i=2.79\:+2.57+\:2.73\:+3.75\:+2.27+\:2.75+\:4.00+\:4.22+\:3.88+\:4.35+\:3.41+\:4.57+\:2.38+\:3.73\:+2.75+\:3.47+\:3.06\\\\\sum x_i=56.68$

and the sum of their squares is

$\sum x_i^2=2.79^2\:+2.57^2+\:2.73^2\:+3.75^2\:+2.27^2+\:2.75^2+\:4.00^2+\:4.22^2+\:3.88^2+\:4.35^2+\:3.41^2+\:4.57^2+\:2.38^2+\:3.73^2\:+2.75^2+\:3.47^2+\:3.06^2\\\\\sum x_i^2=197.46$

(b)

The sample variance, denoted by $s^2$ , is given by

$s^2=\frac{S_{xx}}{n-1}$

where $S_{xx} =\sum x_i^2-\frac{(\sum x_i)^2}{n}$

Applying the above formula we get that

$S_{xx}=197.46-\frac{(56.68)^2}{17}\\\\S_{xx} =8.482$

$s^2=\frac{8.482}{17-1}=0.530$

The sample standard deviation, denoted by <em>s</em>, is the (positive) square root of the variance:

$s=\sqrt{s^2}$

Applying the above formula we get that

$s=\sqrt{0.530}=0.728$

3 0

3 years ago