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2 years ago

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The width to height ratio of a certain computer monitor is 16 to 9. The monitors height is 13.5 inches. What is the width in inc

hes of the monitor?

1 answer:

AlexFokin [52]2 years ago

3 0

Answer:

The width of computer = 24 inches

Step-by-step explanation:

Given that:

Ratio of width to height = 16 : 9

Height of monitor = 13.5 inches

Width of monitor = x

This forms a proportional relationship

16 : 9 :: x : 13.5

Product of mean = Product of extreme

9x = 13.5 * 16

9x = 216

Dividing both sides by 9

$\frac{9x}{9}=\frac{216}{9}\\x=24$

Hence,

The width of computer = 24 inches

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Alright, lets get started.

Suppose number of books Jim have = x

Sam has twice as many books as Jim. So,

Number of books Sam have = 2x

If Sam gives 12 books to Jim, they will have the same number of books.

When Sam gives 12 books, his remaining books will be $= 2x - 12$

When Jim gets 12 books from Sam, his books will be $= x + 12$

And as per given question, they both now have equal books, so

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Adding 12 in both sides

$2x - 12 + 12 = x + 12 + 12$

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Subtracting x from both sides

$2x - x = x + 24 - x$

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Step-by-step explanation:

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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

$s=\sqrt{0.530}=0.728$

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