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Revision notes with simplified explanations to understand Grouped Frequency Distributions quickly and effectively.
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A grouped frequency distribution is a method of organising data into intervals (called classes or bins) to summarise and display large data sets more effectively. Each interval is associated with a frequency, which indicates the number of data points that fall within that range.
The number of data points within each class interval.
The central value of a class interval:
The running total of frequencies, showing how many data points fall below the upper limit of each interval.
Proportion of data in each interval, expressed as a fraction or percentage:
Subtract the smallest data value from the largest.
Commonly, use between 5 and 10 intervals depending on the data set size.
Start from the smallest data value and add the interval width to form consecutive intervals.
Count how many data points fall into each interval.
Problem: The ages of 20 people are:
Solution:
Step 1: Range:
Step 2: Intervals:
Choose 5 intervals:
Step 3: Create Intervals:
Step 4: Tally Frequencies:
Count how many ages fall into each interval.
Grouped Frequency Table:
Interval | Frequency () | Midpoint () | Cumulative Frequency |
---|---|---|---|
12–15 | 3 | 13.5 | 3 |
16–19 | 5 | 17.5 | 8 |
20–23 | 4 | 21.5 | 12 |
24–27 | 6 | 25.5 | 18 |
28–31 | 2 | 29.5 | 20 |
Problem: Use the table above to find the relative frequency of each interval.
Solution:
Step 1: Calculate Total Frequency
Step 2: Calculate Relative Frequency for each interval:
Relative Frequency Table:
Interval | Frequency () | Relative Frequency |
---|---|---|
12–15 | 3 | 0.15 |
16–19 | 5 | 0.25 |
20–23 | 4 | 0.20 |
24–27 | 6 | 0.30 |
28–31 | 2 | 0.10 |
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