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2 years ago

10 1/4 divided by 2 1/2

Mathematics

2 answers:

gtnhenbr [62]2 years ago

6 0

Answer: 4.1

Step-by-step explanation:

Aleksandr [31]2 years ago

3 0

Answer:

4 1/10

hope this helps have a good day :)

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There is a pair of parallel sides in the following shape.<br> 9. 5. 3

pogonyaev

Answer:

area of composite shapes is area of rectangle plus area of square what do I know I'm just in 8th grad

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2 years ago

Which set of rectangular coordinates describes the same location as the polar coordinates (4,pi)?

Nataly [62]

$\bf (\stackrel{r}{4}~,~\stackrel{\theta }{\pi })\qquad \begin{cases} x=&rcos(\theta )\\ &4cos(\pi )\\ &4(-1)\\ &-4\\ y= &rsin(\theta )\\ &4sin(\pi )\\ &4(0)\\ &0\\ \end{cases}\qquad \implies (\stackrel{x}{-4}~,~\stackrel{y}{0})$

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3 years ago

Read 2 more answers

One planet holds 14 Tomato seedlings. If you have 1,113 seedlings, how many containers do you need to hold all seedlings?

kaheart [24]

Answer:

If your talking about the containers, then you would need 80

containers, hope this helps.

Step-by-step explanation:

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3 years ago

Write an equation in slope-intercept form of the line that passes through (5,−1) and (4,3)

pogonyaev

Y=4x-21 I’m pretty sure is the answrr.

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3 years ago

A consumer organization inspecting new cars found that many had appearance defects (dents, scratches, paint chips, etc.). While

Murljashka [212]

Answer:

The expected number of appearance defects in a new car = 0.64

standard deviation = 0.93(approximately)

Step-by-step explanation:

Given -

7% had exactly three, 11% exactly two, and 21% only one defect in cars.

Let X be no of defects in a car

P(X=3) = .07 , P(X=2) = .11 , P(X=3) = .21

P(X=0 ) = 1 - .07 - .11 - .21 = 0.61

The expected number of appearance defects in a new car =

E(X) = $\nu$ = $= \sum X P(X) =3\times 0.07 + 2\times0.11 + 3\times0.21 + 0\times0.61$ = 0.64

$\sigma^{2}$ = variation of E(X) = $\sum (X - \nu) ^{2}P(X)$ = $(3 - 0.64) ^{2}\times0.07 + (2 - 0.64) ^{2}\times0.11 + (1 - 0.64) ^{2}\times0.21 + (0 - 0.64) ^{2}\times0.61$

= $(2.36) ^{2}\times0.07 + (1.36) ^{2}\times0.11 + (.36) ^{2}\times0.21 + ( 0.64) ^{2}\times0.61$ = 0.8704

standard deviation = $\sqrt{\sigma^{2}}$ = $\sqrt{0.8704^{2}}$ = 0.93(approximately)

4 0

3 years ago