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Troyanec [42]
3 years ago
10

A rhombus has a perimeter of 484 feet. What is the length of each side of the rhombus?

Mathematics
1 answer:
LenKa [72]3 years ago
5 0
Each side of the rhombus is 121 feet
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It is 2.8km from David’s house to the nearest mailbox. How far is it in meters?
Ganezh [65]

Solution

Distance in km = 2.8 km

Distance in m = 2.8 x 1000m

Distance in m = 2,800m

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11 months ago
What is the remainder when 16055 Is divided by 16? Input numeric values only
MAXImum [283]
The remainder is 1003.4375
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3 years ago
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Assume that trees are subjected to different levels of carbon dioxide atmosphere with 7% of the trees in a minimal growth condit
taurus [48]

Answer: The mean and standard deviation are 567.2 and 89.88 resp.

Step-by-step explanation:

Since we have given that

For 370 parts per million = 7% = 0.07

For 440 parts per million = 10% = 0.10

For 550 parts per million = 49% = 0.49

For 670 parts per million = 34% = 0.34

So, Mean of the carbon dioxide atmosphere for these trees would be

E[x]=370\times 0.07+440\times 0.1+550\times 0.49+670\times 0.34=567.2

And

E[x^2]=370^2\times 0.07+440^2\times 0.1+550^2\times 0.49+670^2\times 0.34=329794

So, Variance would be

Var\ x=E[x^2]-E[x]^2=329794-567.2^2=8078.16

So, the standard deviation would be

\sigma=\sqrt{8078.16}=89.88

Hence, the mean and standard deviation are 567.2 and 89.88 resp.

3 0
3 years ago
The diagram shows the arcs for the construction of —
babunello [35]
Can u show the picture?
3 0
3 years ago
Food inspectors inspect samples of food products to see if they are safe. This can be thought of as a hypothesis test with the f
Molodets [167]

Answer:

b. type II

Step-by-step explanation:

given that food inspectors  inspect samples of food products to see if they are safe. This can be thought of as a hypothesis test with the following hypotheses.

H0: the food is safe

Ha: the food is not safe

It was concluded from the hypothesis test that the food is safe while it was not actually safe.

This is a case of false acceptance of null hypothesis when it is false.

In hypothesis test, there are two errors. a type I error is the rejection of a true null hypothesis  while a type II error is the non-rejection of a false null hypothesis

So this is type II error because we did not reject a false null hypothesis.

8 0
3 years ago
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