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Mean and Statistics from Grouped Data
May 6, 2025
Calculating the Mean from a Group Frequency Table
Introduction
Discussing how to calculate the mean of a group frequency table using student grades.
Grade intervals:
40-49, 50-59, 60-69, 70-79, 80-89, 90-100.
Frequency column indicates the number of students in each grade interval.
Understanding the Calculation
Exact mean cannot be computed due to lack of individual data values.
Mean is estimated by using the formula for group frequency tables:
Mean = (Sum of (Frequency × Midpoint)) / (Sum of Frequency)
Midpoint is the sum of the lower and upper boundaries of the interval divided by 2.
Calculating Midpoints
Examples of calculating midpoints for each grade interval:
40-49: (40+49)/2 = 44.5
50-59: (50+59)/2 = 54.5
Pattern observed in midpoints: 64.5, 74.5, 84.5, 95.
Sum of Frequency
Calculating total number of students = 3 + 5 + 6 + 9 + 8 + 7 = 38.
Frequency Times Midpoint
Create an extra column for Frequency × Midpoint (F × M):
Examples:
3 × 44.5 = 133.5
5 × 54.5 = 272.5
Sum of this column = 2804.5.
Calculating the Mean
Mean = 2804.5 / 38 = 73.8.
Mean likely falls in the 70-79 interval where most students scored.
Identifying Median and Mode
Mode
: Occurs in the interval with the highest frequency (70-79).
Median
:
Use Cumulative Frequency to determine: 3, 8, 14, 23, 31, 38.
Median is between 14 and 23, so it lies in the 70-79 interval.
Additional Example: Student Weights
Cumulative Frequency Calculation
Example intervals: 120-139, 140-159, etc.
Cumulative Frequency: 6, 14, 26, 33, 36.
Midpoint Calculations
Examples:
First interval (120-139): (120+139)/2 = 129.5
Second interval (140-159): (140+159)/2 = 149.5
Frequency Times Midpoint
Multiply frequency by midpoint:
6 × 129.5 = 777
8 × 149.5 = 1196
Sum = 5963.5.
Calculating the Mean
Mean = 5963.5 / 36 = 165.7, falls in the 160-179 interval.
Identifying Median and Mode
Mode
: Highest frequency interval (160-179).
Median
:
18th student is in the interval 160-179.
Conclusion
Mean, median, and mode help identify central tendencies in grouped data.
Practical application in analyzing student grades and weights.
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