Step-by-step explanation:
<u>A</u><u>.</u><u> </u><u>Line up the decimals, then multiply as you would with whole numbers:</u>

<u>B. Line up the decimals, then add as you would with whole numbers:</u>
Note: These decimals aren't lined up exactly.



The "m" in y = mx + b is the <u>slope.</u>
It is the number of units a point goes up, down, left, or right each time. Making the line linear/straight.

"rise" is the the number of units you go up(+) or down(-), "run" is the number of units you go to the right
For example, if your slope is:

You are going up 1 unit, and to the right 2 units
3 or 
You are going up 3 units, and to the right 1 unit

You are going down one unit, and to the right 2 units
-3 or 
You are going down 3 units, and to the right 1 unit
Answer:
B
Step-by-step explanation:
The mean is usually the best measure of central tendency to use when your data distribution is continuous and symmetrical, such as when your data is normally distributed. However, it all depends on what you are trying to show from your data.
A perfect square is a number made by squaring a whole number.
Since
numbers 1, 16, 100 are perfect squares. You cannot find such whole number n, that
therefore, numbers 2, 18, 32, 44, 94 are not perfect squares.
Answer: 1, 16, 100.