Answer:
Sally has been measuring the tree for 4 months
Step-by-step explanation:
The correct question is as follows;
Sally has been measuring the tree in her yard for a science project. The tree has grown 1/2 of an inch each month and grown a total of 2 inches taller. How many months has Sally been measuring this tree?
.........................................................................................
Solution;
The tree has grown 1/2 of an inch each month and has grown a total of 2 inch taller.
We now need to know the number of months in which the measuring has been taking place.
To know the number of months, we simply need to divide the change in height which is 2 inch by the individual month growth rate which is 1/2 inch
So mathematically, that would be 2/1/2 = 2 * 2 = 4 months
Answer:
C. x = 6
Step-by-step explanation:
6 + 4 = 10
Vas happenin!
The answer is
57 pi ft squared
Hope this helps
-Zayn Malik
Answer:
a) False
b) False
c) True
d) False
e) False
Step-by-step explanation:
a. A single vector by itself is linearly dependent. False
If v = 0 then the only scalar c such that cv = 0 is c = 0. Hence, 1vl is linearly independent. A set consisting of a single vector v is linearly dependent if and only if v = 0. Therefore, only a single zero vector is linearly dependent, while any set consisting of a single nonzero vector is linearly independent.
b. If H= Span{b1,....bp}, then {b1,...bp} is a basis for H. False
A sets forms a basis for vector space, only if it is linearly independent and spans the space. The fact that it is a spanning set alone is not sufficient enough to form a basis.
c. The columns of an invertible n × n matrix form a basis for Rⁿ. True
If a matrix is invertible, then its columns are linearly independent and every row has a pivot element. The columns, can therefore, form a basis for Rⁿ.
d. In some cases, the linear dependence relations among the columns of a matrix can be affected by certain elementary row operations on the matrix. False
Row operations can not affect linear dependence among the columns of a matrix.
e. A basis is a spanning set that is as large as possible. False
A basis is not a large spanning set. A basis is the smallest spanning set.
