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Maslowich
3 years ago
5

กิน

Mathematics
1 answer:
-BARSIC- [3]3 years ago
5 0
It’s A because the hundreds place is 5 the tens is 8 which is one less then 9 and the ones is 9 which is more then 8
You might be interested in
How do I divide pi by 1000?
Leokris [45]

Just as you would do it with any other number.

Write out some of it, then move the decimal point 3 places this way <=== .

Some of pi :                   3.14159 

Divide by 1,000 :     0.00314159

8 0
3 years ago
X + t = 3.45 Whats x?
sladkih [1.3K]
We can subtract t from both sides to get...

x+t = 3.45
x+t-t = 3.45-t
x = 3.45-t

6 0
3 years ago
How do I solve polynomials
spin [16.1K]

Answer:

Polynomial comes from poly- (meaning "many") and -nomial (in this case meaning "term") ... so it says "many terms"

Also they can have one or more terms, but not an infinite number of terms.

These are polynomials:

3x

x − 2

−6y2 − ( 79)x

3xyz + 3xy2z − 0.1xz − 200y + 0.5

512v5 + 99w5

5

(Yes, "5" is a polynomial, one term is allowed, and it can be just a constant!)

 

These are not polynomials

3xy-2 is not, because the exponent is "-2" (exponents can only be 0,1,2,...)

2/(x+2) is not, because dividing by a variable is not allowed

1/x is not either

√x is not, because the exponent is "½" (see fractional exponents)

 

But these are allowed:

x/2 is allowed, because you can divide by a constant

also 3x/8 for the same reason

√2 is allowed, because it is a constant (= 1.4142...etc)

Monomial, Binomial, Trinomial

There are special names for polynomials with 1, 2 or 3 terms:

monomial, binomial, trinomial

Variables

Polynomials can have no variable at all

Example: 21 is a polynomial. It has just one term, which is a constant.

Or one variable

Example: x4 − 2x2 + x   has three terms, but only one variable (x)

Or two or more variables

Example: xy4 − 5x2z   has two terms, and three variables (x, y and z)

What is Special About Polynomials?

Because of the strict definition, polynomials are easy to work with.

For example we know that:

If you add polynomials you get a polynomial

If you multiply polynomials you get a polynomial

So you can do lots of additions and multiplications, and still have a polynomial as the result.

Also, polynomials of one variable are easy to graph, as they have smooth and continuous lines.

Example: x4−2x2+x

x^4-2x^2+x  

See how nice and

smooth the curve is?

You can also divide polynomials (but the result may not be a polynomial).

Degree

The degree of a polynomial with only one variable is the largest exponent of that variable.

Example:

4x3-x-3 The Degree is 3 (the largest exponent of x)

For more complicated cases, read Degree (of an Expression).

Standard Form

The Standard Form for writing a polynomial is to put the terms with the highest degree first.

Example: Put this in Standard Form: 3x2 − 7 + 4x3 + x6

The highest degree is 6, so that goes first, then 3, 2 and then the constant last:

x6 + 4x3 + 3x2 − 7

You don't have to use Standard Form, but it helps.

5 0
2 years ago
A red gumball is 2 5/8 Inches across. A green gumball is 2 5/6 inches across and a blue gumball in 2 7/9 inches across. list the
Masteriza [31]

Answer: 5 8 7 9 5 6

Step-by-step explanation:

Because you go by which is closer to the denominator

8 0
3 years ago
Discuss some ways that the concepts of covariance and correlation are similar or different.
natima [27]

Answer:

Step-by-step explanation:

<em>Key Differences Between Covariance and Correlation </em>

<em>The following points are noteworthy so far as the difference between covariance and correlation is concerned: </em>

<em> </em>

<em>1. A measure used to indicate the extent to which two random variables change in tandem is known as covariance. A measure used to represent how strongly two random variables are related known as correlation. </em>

<em>2. Covariance is nothing but a measure of correlation. On the contrary, correlation refers to the scaled form of covariance. </em>

<em>3. The value of correlation takes place between -1 and +1. Conversely, the value of covariance lies between -∞ and +∞. </em>

<em>4. Covariance is affected by the change in scale, i.e. if all the value of one variable is multiplied by a constant and all the value of another variable are multiplied, by a similar or different constant, then the covariance is changed. As against this, correlation is not influenced by the change in scale. </em>

<em>5. Correlation is dimensionless, i.e. it is a unit-free measure of the relationship between variables. Unlike covariance, where the value is obtained by the product of the units of the two variables. </em>

You can find more here:  http://keydifferences.com/difference-between-covariance-and-correlation.html#ixzz4qg5YbiGj

4 0
2 years ago
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