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The means and mean absolute deviations of Sidney's and Phil's grades are shown in the table below.

\begin{tabular}{|c|c|c|}
\hline \multicolumn{2}{|c|}{\begin{tabular}{c}
Means and Mean Absolute Deviations of \\
Sidney's and Phil's Grades
\end{tabular}} \\
\hline Sidney & Phil \\
\hline Mean & 82 & 78 \\
\hline Mean Absolute Deviation & 3.28 & 3.96 \\
\hline
\end{tabular}

Which expression represents the ratio of the difference of the two means to Sidney's mean absolute deviation?

A. [tex]$\frac{82}{3.28}$[/tex]
B. [tex]$\frac{4}{3.28}$[/tex]
C. [tex]$\frac{4}{0.68}$[/tex]


Sagot :

To find the exact expression that represents the ratio of the difference of the two means to Sidney's mean absolute deviation, let's go through the steps:

1. Identify the means of Sidney and Phil:
- Mean of Sidney's grades ([tex]\( \text{mean}_{Sidney} \)[/tex]) = 82
- Mean of Phil's grades ([tex]\( \text{mean}_{Phil} \)[/tex]) = 78

2. Mean Absolute Deviations (MAD):
- MAD of Sidney's grades ([tex]\( \text{mad}_{Sidney} \)[/tex]) = 3.28
- MAD of Phil's grades ([tex]\( \text{mad}_{Phil} \)[/tex]) = 3.96

3. Calculate the difference between the means of Sidney's and Phil's grades:
[tex]\[ \text{Difference of means} = \text{mean}_{Sidney} - \text{mean}_{Phil} \][/tex]
Substituting the values:
[tex]\[ \text{Difference of means} = 82 - 78 = 4 \][/tex]

4. Calculate the ratio of the difference of means to Sidney's mean absolute deviation:
[tex]\[ \text{Ratio} = \frac{\text{Difference of means}}{\text{mad}_{Sidney}} \][/tex]
Substituting the values:
[tex]\[ \text{Ratio} = \frac{4}{3.28} \][/tex]

Among the given expressions:

- [tex]\(\frac{82}{3.28}\)[/tex] does not represent our context as it directly divides Sidney's mean by his MAD.
- [tex]\(\frac{4}{0.68}\)[/tex] is not correct because it improperly uses the difference between the mean absolute deviations instead of the means.
- [tex]\(\frac{4}{3.28}\)[/tex] matches our calculation.

Therefore, the correct expression representing the ratio of the difference of the two means to Sidney's mean absolute deviation is:

[tex]\[ \boxed{\frac{4}{3.28}} \][/tex]
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