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Semmy [17]
2 years ago
10

A drawing has a scale of 3 in. : 2 ft. What is the scale factor of the drawing?

Mathematics
1 answer:
icang [17]2 years ago
3 0

The scale factor of the drawing as described is; 1.5in/ft

<h3>Scale factor of drawings</h3>

According to the question;

  • The given scale factor of the drawing is; 3 in: 2 ft.

In essence, 3 inches on the drawing board represents 2 ft of the object.

Hence, by finding the quotient of the units, we have;

  • 3in/2ft = 1.5 in/ft

Read more on scale factor;

brainly.com/question/2826496

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Answer:

$22.5

Step-by-step explanation:

2.5% of 900

0.025(900)= 22.5

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Simplify (23)^–2 genuinely confused
statuscvo [17]

Answer:

1/529

Step-by-step explanation:

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3 years ago
The owner of an automobile insures it against damage by purchasing an insurance policy with a deductible of 250. In the event th
choli [55]

Answer:

Step-by-step explanation:

From the given information:

The uniform distribution can be represented by:

f_x(x) = \dfrac{1}{1500} ; o \le x \le   \  1500

The function of the insurance is:

I(x) = \left \{ {{0, \ \ \ x \le 250} \atop {x -20 , \ \  \ \ \ 250 \le x \le 1500}} \right.

Hence, the variance of the insurance can also be an account forum.

Var [I_{(x}) = E [I^2(x)] - [E(I(x)]^2

here;

E[I(x)] = \int f_x(x) I (x) \ sx

E[I(x)] = \dfrac{1}{1500} \int ^{1500}_{250{ (x- 250) \ dx

= \dfrac{1}{1500 } \dfrac{(x - 250)^2}{2} \Big |^{1500}_{250}

\dfrac{5}{12} \times 1250

Similarly;

E[I^2(x)] = \int f_x(x) I^2 (x) \ sx

E[I(x)] = \dfrac{1}{1500} \int ^{1500}_{250{ (x- 250)^2 \ dx

= \dfrac{1}{1500 } \dfrac{(x - 250)^3}{3} \Big |^{1500}_{250}

\dfrac{5}{18} \times 1250^2

∴

Var {I(x)} = 1250^2 \Big [ \dfrac{5}{18} - \dfrac{25}{144}]

Finally, the standard deviation  of the insurance payment is:

= \sqrt{Var(I(x))}

= 1250 \sqrt{\dfrac{5}{48}}

≅ 404

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Write the equation of the best fit line in slope-intercept form. Include all of your calculations in your final answer.
Dovator [93]
I am not good at this so ii wont be able to solve it for ya but i can help you.

So to find the line of best fit you have to pick to pick to points on your scatter plot. Then with those two points you add the y points together then add the x points together. Your equation with be what you got in all y over x. That is your slope. I hope this helped you!
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c

Step-by-step explanation:

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