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3 years ago

What is the word form for 6,362,049

Mathematics

2 answers:

ycow [4]3 years ago

5 0

Six million three hundred sixty-two thousand fourty-nine

luda_lava [24]3 years ago

4 0

Six million three hundred sixty two thousand forty nine

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Jan spent the day at the mall. She came home with $9.50. She spent $5.25 on earrings and 3 times that amount on a shirt. How muc

ki77a [65]

Answer:

She took $30.50 to the mall originally

Step-by-step explanation:

Let us solve the problem step by step

∵ She spent $5.25 on earrings

∵ The price of the shirt is 3 times the price of the earrings

∴ The price of the shirt = 3 × 5.25 = 15.75

∴ She spent $15.75 on the shirt

Find her total spending in the mall by adding the prices of earrings and the shirt

∴ She spent = 5.25 + 15.75 = 21

∴ She spent $21 on the mall

∵ She came home with $9.50

∵ She spent $21 on the mall

- Add them to find her original amount of money

∴ She took = 21 + 9.50 = 30.50

∴ She took $30.50 to the mall originally

5 0

3 years ago

Josie's age is four years greater than double

liubo4ka [24]

Answer:

None of these.

Step-by-step explanation:

Mario's age= n

Therefore,

Josie's age= 2n+4

8 0

3 years ago

Find the value of this experssion x = -9<br><br> x - 3 x + 5?

aalyn [17]

If you are imposing the x=-9 then, the problem would be set up like this:
=-9-3(-9)+5
=-9-(-27)+5
=18+5
=23

8 0

3 years ago

Read 2 more answers

Consider the following discrete time process: at integer times, a marble arrives which can be one of m colors. Each color is equ

Flauer [41]

Answer:

Below are the responses to the given question:

Step-by-step explanation:

Let X become the random marble variable & g have been any function.

Now.

For point a:

When X is discreet, the g(X) expectation is defined as follows

Then there will be a change of position.

E[g(X)] = X xâˆˆX g(x)f(x)

If f is X and X's mass likelihood function support X.

For point b:

When X is continuing the g(X) expectations is calculated as, E[g(X)] = Z âˆž âˆ’âˆž g(x)f(x) dx, where f is the X transportation distances of probability.If E(X) = âˆ’âˆž or E(X) = âˆž (i.e., E(|X|) = âˆž), they say it has nothing to expect from EX is occasionally written to stress that a specific probability distribution X is expected.Its expectation is given in the form of,E[g(X)] = Z x âˆ’âˆž g(x) dF(x). , sometimes for the continuous random vary (x). Here F(x) is X's distributed feature. The anticipation operator bears the lineage of comprehensive & integral features. The superposition principle shows in detail how expectation maintains equality and is a skill.

5 0

3 years ago

To find the zeroes of polynomials we:<br> Plz help me !!

brilliants [131]

Answer:

divide the zero

Step-by-step explanation:

4 0

3 years ago