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3 years ago

Helppp ASAP. Emma wants to enlarge a square photo and print it to a square canvas. The side

1 answer:

amm18123 years ago

8 0

The side length is 3in. Divide 12 inches by 4 inches, and you get 3. Multiply 3 by the conversion (1 inch), and you will get 3 inches.

You might be interested in

15 times the square of a nonzero number is equal to 20 times the number

melisa1 [442]

Answer:

Let the number be x

The expression above is written as

15x² = 20x

Divide both sides by x

We get

15x²/x = 20x/x

15x = 20

Divide both sides by 15

x = 20/15

x = 4/3

Hope this helps

4 0

3 years ago

Help me please ......

Kruka [31]

Since the block is a cube, the dimentions from corner to corner equal all the same, as long as the pieces are equal, which in this case, they are. :) So basically what you need to do is find the perimeter of one side of the cube, and that's the answer.

8 0

3 years ago

What is 4 9/10 expressed as a decimal?

bulgar [2K]

Answer:

4.9

Step-by-step explanation:

6 0

3 years ago

Read 2 more answers

115. Sami opens an account and deposits $100 into it at the end of each month. The account earns 2% per year compounded monthly.

givi [52]

Step-by-step explanation:

Geometric series.

Month 3.

100(1+\frac{0.02}{12})^2 + 100(1+\frac{0.02}{12})+100

Month 4.

100( 1 + \frac{0.02}{12})^3 + 100( 1 + \frac{0.02}{12})^2+100(1+\frac{0.02}{12})+100

Month 5.

100(1 + \frac{0.02}{12})^4 + 100(1 + \frac{0.02}{12})^3 + 100(1 + \frac{0.02}{12})^2 +100( 1 + \frac{0.02}{12}) + 100

4 0

3 years ago

A recent survey found that 70% of all adults over 50 wear

lubasha [3.4K]

Answer:

There is an 84.97% probability that at least six wear glasses.

Step-by-step explanation:

For each adult over 50, there are only two possible outcomes. Either they wear glasses, or they do not. This means that we use the binomial probability distribution to solve this problem.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$