Answer :
Sure! Let's organize the sales information for the three stores into a matrix. The matrix will have 3 rows and 4 columns, where each row represents a store, and each column represents a product category (loaves of bread, quarts of milk, jars of peanut butter, and pounds of cold cuts).
Here's how we can structure the matrix:
1. Store I sales:
- 84 loaves of bread
- 48 quarts of milk
- 12 jars of peanut butter
- 108 pounds of cold cuts
2. Store II sales:
- 105 loaves of bread
- 69 quarts of milk
- 18 jars of peanut butter
- 147 pounds of cold cuts
3. Store III sales:
- 50 loaves of bread
- 30 quarts of milk
- 0 jars of peanut butter
- 70 pounds of cold cuts
Now, placing these sales into a [tex]$3 \times 4$[/tex] matrix, where each row represents one store, we get:
[tex]\[
\begin{bmatrix}
84 & 48 & 12 & 108 \\
105 & 69 & 18 & 147 \\
50 & 30 & 0 & 70
\end{bmatrix}
\][/tex]
So, the matrix that corresponds to the given sales data is:
[tex]\[
D.
\begin{bmatrix}
84 & 48 & 12 & 108 \\
105 & 69 & 18 & 147 \\
50 & 30 & 0 & 70
\end{bmatrix}
\][/tex]
This matrix correctly represents the sales information for the three stores.
Here's how we can structure the matrix:
1. Store I sales:
- 84 loaves of bread
- 48 quarts of milk
- 12 jars of peanut butter
- 108 pounds of cold cuts
2. Store II sales:
- 105 loaves of bread
- 69 quarts of milk
- 18 jars of peanut butter
- 147 pounds of cold cuts
3. Store III sales:
- 50 loaves of bread
- 30 quarts of milk
- 0 jars of peanut butter
- 70 pounds of cold cuts
Now, placing these sales into a [tex]$3 \times 4$[/tex] matrix, where each row represents one store, we get:
[tex]\[
\begin{bmatrix}
84 & 48 & 12 & 108 \\
105 & 69 & 18 & 147 \\
50 & 30 & 0 & 70
\end{bmatrix}
\][/tex]
So, the matrix that corresponds to the given sales data is:
[tex]\[
D.
\begin{bmatrix}
84 & 48 & 12 & 108 \\
105 & 69 & 18 & 147 \\
50 & 30 & 0 & 70
\end{bmatrix}
\][/tex]
This matrix correctly represents the sales information for the three stores.