Please help with uncompleted ones

Mathematics

2 answers:

AnnyKZ [126]3 years ago

8 0

Answer:

- 9/2 x 26/3 = -39

11/6 * -9/1 = -16 1/2

Bond [772]3 years ago

5 0

Answer

Improper fractions (-9/2, 26/3) Answer 234/6 or -39

Step-by-step explanation:

correct me if I'm wrong

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Evaluate V= bh divided by 3 for B= 9 in 2 and h=32 in

Luba_88 [7]

It would be 96 because V=(9)(32)= 288/3=96

8 0

3 years ago

Please help 30 points

leva [86]

Wow this question is very difficult,hold up

8 0

2 years ago

During the spring car wash, the activities club washed 14 fewer cars than during the summer car wash. They washed a total of 96

Mashutka [201]

You can make an equation to solve this, but establishing knowns, unknowns, and relationships.

# in spring wash = x
# in summer = x + 14
Total Washes = 96

we know:
total = summer + spring

96 = (x) + (x + 14)
96 = 2x + 14
82 = 2x

"x" = 41

4 0

2 years ago

Determine whether the set of vectors is a basis for ℛ3. Given the set of vectors , decide which of the following statements is t

schepotkina [342]

Answer:

(A) Set A is linearly independent and spans $R^3$ . Set is a basis for $R^3$ .

Step-by-Step Explanation

Definition (Linear Independence)

A set of vectors is said to be linearly independent if at least one of the vectors can be written as a linear combination of the others. The identity matrix is linearly independent.

Definition (Span of a Set of Vectors)

The Span of a set of vectors is the set of all linear combinations of the vectors.

Definition (A Basis of a Subspace).

A subset B of a vector space V is called a basis if: (1)B is linearly independent, and; (2) B is a spanning set of V.

Given the set of vectors $A= \left(\begin{array}{[c][c][c][c]}1 & 0 & 0 & 0\\ 0 & 1 & 0 & 1\\ 0 & 0 & 1 & 1\end{array} \right)$ , we are to decide which of the given statements is true:

In Matrix $A= \left(\begin{array}{[c][c][c][c]}(1) & 0 & 0 & 0\\ 0 & (1) & 0 & 1\\ 0 & 0 & (1) & 1\end{array} \right)$ , the circled numbers are the pivots. There are 3 pivots in this case. By the theorem that The Row Rank=Column Rank of a Matrix, the column rank of A is 3. Thus there are 3 linearly independent columns of A and one linearly dependent column. $R^3$ has a dimension of 3, thus any 3 linearly independent vectors will span it. We conclude thus that the columns of A spans $R^3$ .