Concept:
Evaluating a finite numerical dataset requires calculating standard descriptive statistical measures:
• Mean (\(\mu\)): The numerical average, found by dividing the sum of all observations by the number of observations.
• Median: The middle value of the dataset after arranging the numbers in ascending or descending order.
• Range: The absolute difference between the maximum and minimum values in the dataset.
Step 1: Calculating the Mean (\(\mu\)).
The dataset consists of \(n = 5\) observations: \(\{43, 76, 64, 49, 58\}\).
Summing these numbers step-by-step:
\[
\sum X = 43 + 76 + 64 + 49 + 58
\]
\[
43 + 76 = 119
\]
\[
119 + 64 = 183
\]
\[
183 + 49 = 232
\]
\[
232 + 58 = 290
\]
Now, divide the total sum by the number of students (\(n = 5\)):
\[
\mu = \frac{290}{5} = 58
\]
Step 2: Calculating the Median.
To find the median, the raw data must first be arranged in ascending order:
\[
43, \, 49, \, 58, \, 64, \, 76
\]
Since the number of observations is odd (\(n = 5\)), the median corresponds to the exact middle position, given by the formula:
\[
\text{Median position} = \frac{n + 1}{2} = \frac{5 + 1}{2} = 3^{\text{rd}} \text{ observation}
\]
Looking at our ordered array, the $3^{\text{rd}}$ value is 58.
Step 3: Calculating the Range.
Identify the maximum and minimum values from the ordered dataset:
\[
X_{\text{max}} = 76
\]
\[
X_{\text{min}} = 43
\]
The mathematical formula for the range is:
\[
\text{Range} = X_{\text{max}} - X_{\text{min}} = 76 - 43 = 33
\]
Step 4: Compiling the results.
Combining our calculations: Mean = 58, Median = 58, Range = 33. This sequence corresponds exactly to Option (A).