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A box contains shirts in two different colors and two different sizes. The numbers of shirts of each color and size are given in the table below.

\begin{tabular}{|l|r|r|r|}
\hline
\multirow{2}{*}{Shirt Color} & \multicolumn{3}{|c|}{Size} \\
\cline {2-4} & Large & Medium & Total \\
\hline
Red & 42 & 48 & 90 \\
\hline
Blue & 35 & 40 & 75 \\
\hline
Total & 77 & 88 & 165 \\
\hline
\end{tabular}

From the data given in the table, we can infer that [tex]$\square$[/tex]


Sagot :

From the data given in the table, we can infer several things about the distribution of shirts in the box. Here’s a detailed, step-by-step look at each piece of information provided:

1. Red Shirts:
- Large: There are 42 red large shirts.
- Medium: There are 48 red medium shirts.
- Total Red Shirts: The total number of red shirts is [tex]\( 42 + 48 = 90 \)[/tex].

2. Blue Shirts:
- Large: There are 35 blue large shirts.
- Medium: There are 40 blue medium shirts.
- Total Blue Shirts: The total number of blue shirts is [tex]\( 35 + 40 = 75 \)[/tex].

3. Total Shirts by Size:
- Large: The total number of large shirts is [tex]\( 42 \text{ (red) } + 35 \text{ (blue) } = 77 \)[/tex].
- Medium: The total number of medium shirts is [tex]\( 48 \text{ (red) } + 40 \text{ (blue) } = 88 \)[/tex].

4. Total Number of Shirts:
- Overall Total Shirts: The total number of shirts in the box is [tex]\( 90 \text{ (red) } + 75 \text{ (blue) } = 165 \)[/tex].

In summary, from the data given in the table, we can infer that the total number of shirts in the box is [tex]\(\boxed{165}\)[/tex].
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