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Veronika [31]
3 years ago
5

Plz help me i dont understand ​

Mathematics
1 answer:
vladimir2022 [97]3 years ago
4 0

Answer: "x" : 3, "star" : 2/3, "circle" : 2 1/3, "square" : 4 2/3

Step-by-step explanation:

The number line is divided into segments that are thirds of a whole number. The question is asking where the shapes fall on the number line. For shapes that do not fall on a whole number, they fall on a fractional portion of a whole number, hence why they are a mixed number.

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There's so many numbers in this one shape I'm confused ._.
Svetlanka [38]
The answer should be 12 units^2

starting from the left side of the shape you multiply base 2 by height 2 which gets 4 then divide by 2 since it is a triangle. next multiply 2x2 for the square in the middle which gets you 4. lastly multiply 6x2 for the triangle on the right which gets you 12 however bc it is a triangle you must divide by 2 and get 6. then add them all together and you get 12.
7 0
3 years ago
Read 2 more answers
. (7.3 × 106)(2.5 × 104) <br> HELP!!
Sliva [168]

Answer:

390988

Step-by-step explanation:

(7.3 x 206)(2.5 x 104)

1503.8(2.5 x 104)

1503.8 x 260

390988

6 0
3 years ago
Pls helpppppppppppppppp
lorasvet [3.4K]
The volume, fr I don’t rly know sry
6 0
3 years ago
Read 2 more answers
Help me please I don’t know what the answer is
Anon25 [30]
I believe that B) m<3 would need to double. Since m<6 and m<3 are corresponding angles, they are always equal. So if 6 doubles, 3 needs to as well in order to be equal.
5 0
3 years ago
For any two documents x and z, define k(x; z) to equal the number of unique words that occur in both x and z (i.e., the size of
liq [111]

Answer:

Yes, the function is a kernel

Step-by-step explanation:

Given

Document x an z

Function definition! k(x:z)

We want to show that the above is a kernel.

To do this, we'll explicitly construct feature vectors φ(x) and φ(z)

This gives;

K(x,z) =φ(x)·φ(z).

Given than any document; say x and z

A vocabulary V can be constructed.

Vocabulary V must have a finite size of words in the document set..

The feature mapping is constructed as φ(x) for x by the following:

For the kth word wk in V, if wk appears in document x, assign φ(x) k(the kth element ofφ(x)) to be 1; else φ(x)k to 0.

Then the number of unique words common in x and z is φ(x)·φ(z), giving us the kernel

.

7 0
3 years ago
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