Answer:
b. BC
Step-by-step explanation:
The first thing is to calculate the dimensions of each matrix, that is, the number of rows x number of columns:
dimensions of A: 2x2
B dimensions: 2x3
C dimensions: 3x3
D dimensions: 1x3
We have that a matrix multiplication is defined, the internal numbers of its dimensions must be the same: we analyze each option:
BA: (2x3) * (2x2): the internal numbers do not match (a 3 for B and a 2 for A), so the multiplication of the matrix is not defined
BC: (2x3) * (3x3): the internal numbers are both 3, so the matrix multiplication is defined
CB: (3x3
) * (2x3): the internal numbers do not match (a 3 for C and a 2 for B), so the multiplication of the matrix is not defined
CD: (3x3) * (1x3): the internal numbers do not match (a 3 for C and a 1 for D) so the multiplication of the matrix is not defined
Therefore the answer is b. BC
Since the standard deviation is the square root of variance. The only times where the standard deviation is greater than the variance is when the variance is between the values 0 and 1 exclusively. For example, the square root of 0.25 is 0.5.
06+02+08+22+286+08 this should work but if it doesn't let me know
Answer:
The answer is B
Step-by-step explanation: