0
Explain why the number of rectangles found in a standard 8x8 chessboard is have nine and choose 2 squared?
There are eight rows so there are 9 nine lines (borders of rows) to choose from. You choose two on one side to determine the position/size of the rectangle along that side. It is the same for the other side, and you have to multiply the two to get each combination of position along row and position along column. Each zero is an intersection corner of squares. Notice how picking two lines on each side determines a unique rectangle. | | 000000000 000000000 000000000 0000@@@00- 0000@@@00 0000@@@00 0000@@@00 0000@@@00- 000000000
What else can I help you with?
Are all rectangles squared?
No.
Can you help me explain 14 squared Write in standard form?
Any number, squared, is the number multiplied by itself. So 142 = 14*14. And that, is 196.
How many different rectangles if the area is 24 cm squared?
3
If a rectangles area is 12 cm squared what is the perimeter?
12
What is the standard form of 12 squared?
The standard form of 12 squared is 122
How is five squared written in standard notation?
Five squared written in standard notation is 25.
If two rectangles have the same area do they have the same perimeter too explain how you know?
Not necessarily. For instance If you take two rectangles whose area's are 36in squared. One could be 6 by 6 while the other could be 9 by 4. Thus ones Perimeter would be 24in with the others would be 26in.
How do you write the standard notation for 5 squared?
The standard notation of 5 squared (5x5 or 52) is 25
Are all rectangles square?
All rectangles are "squared" in that they have 4 corners (vertices) that are 90-degree angles. But a rectangle is only "a square" if all four sides are equal in length.
What is 17 squared in standard form?
17 squared = 172 = 289
How do you write 0.81 squared in standard form?
0.81 squared equals 0.81 x 0.81 The result in standard form is 0.6561
Is the variance of a group of scores the same as the squared standard deviation?
The standard deviation is defined as the square root of the variance, so the variance is the same as the squared standard deviation.
