Answer:
Tyrone
Step-by-step explanation:
In a race the shortest time is the winner.
In this case the ones and the tens place are all the same so we look to the tenths place in which Tyrone has a 0 which is the lowest.
<em><u>No</u></em><em><u>,</u></em><em><u> </u></em><em><u>because</u></em><em><u> </u></em><em><u>to</u></em><em><u> </u></em><em><u>convert</u></em><em><u> </u></em><em><u>meter</u></em><em><u> </u></em><em><u>to</u></em><em><u> </u></em><em><u>millimeter</u></em><em><u> </u></em><em><u>you'll</u></em><em><u> </u></em><em><u>have</u></em><em><u> </u></em><em><u>to</u></em><em><u> </u></em><em><u>multiply the length value by 1000</u></em><em><u> </u></em><em><u>which</u></em><em><u> </u></em><em><u>will</u></em><em><u> </u></em><em><u>give</u></em><em><u> </u></em><em><u>you</u></em><em><u> </u></em><em><u>3</u></em><em><u>5</u></em><em><u>0</u></em><em><u>0</u></em><em><u>.</u></em>
<em><u>3.5</u></em><em><u> </u></em><em><u>×</u></em><em><u> </u></em><em><u>1</u></em><em><u>0</u></em><em><u>0</u></em><em><u>0</u></em>
<em><u>=</u></em><em><u> </u></em><em><u>3</u></em><em><u>5</u></em><em><u>0</u></em><em><u>0</u></em><em><u>.</u></em>
<em><u>have</u></em><em><u> </u></em><em><u>a</u></em><em><u> </u></em><em><u>great</u></em><em><u> </u></em><em><u>day</u></em><em><u>!</u></em>
Answer:
42 cubic units
Step-by-step explanation:
2x3x7
ANSWER
The multiplication, CA is defined, and its dimension is 3×2
EXPLANATION
Matrix A is a 2x3 matrix.
Matrix C is a 3×2 matrix.
The product of the two matrices , CA, is defined if and only if the inner product of their dimension are the same.

The inner products are the same.
Hence the matrix multiplication, CA is defined and its dimension is the outer products.

Answer:
The question is unclear and incomplete.
Let me explain the degrees of freedom in statistics.
Step-by-step explanation:
Statistically, degrees of freedom which is denoted as DF is the number of independent values that can vary in an analysis without breaking any constraints. It can also be referred to as the number of independent values that a statistical analysis can estimate.
Degrees of freedom also define the probability distributions for the test statistics of various hypothesis tests.
The degree of freedom has the formula:
DF = N - 1 where N number of random variables
DF = (R - 1) x (C - 1) Where R is the number of data values and C is the number of groups