Mean Heartbeats per Minute (Grouped Data – Assumed Mean Method)
Problem
How to solve this problem?
Explanation
We are given grouped data for the heartbeats per minute of 30 women, and we are asked to find the mean heartbeats per minute, using a suitable method.
1. Understanding the data
The table is:
| Class interval (beats/min) | Frequency (number of women) | |----------------------------|------------------------------| | 65–68 | 2 | | 68–71 | 4 | | 71–74 | 3 | | 74–77 | 8 | | 77–80 | 7 | | 80–83 | 4 | | 83–86 | 2 |
Total number of women:
These are grouped (continuous) intervals of equal width (3). We don't know each individual value, so we use class midpoints and an appropriate mean formula.
2. Class midpoints
For each class interval, the midpoint (class mark) is
So we get:
- 65–68: midpoint
- 68–71: midpoint
- 71–74: midpoint
- 74–77: midpoint
- 77–80: midpoint
- 80–83: midpoint
- 83–86: midpoint
We now have pairs where is midpoint and is frequency.
3. Choosing a suitable method: Assumed Mean Method
Since the midpoints are close together and evenly spaced, a very convenient method is the Assumed Mean Method (also called the step-deviation method for grouped data). It reduces the arithmetic.
We choose:
- Class width: (for all classes)
- Assumed mean: pick a central class midpoint to simplify; a natural choice is (midpoint of 74–77, the class with highest frequency).
Define for each class:
- : class midpoint
- : deviation from assumed mean
Then the mean is computed as:
4. Compute and
Using and :
-
For 65–68, :
-
For 68–71, :
-
For 71–74, :
-
For 74–77, :
-
For 77–80, :
-
For 80–83, :
-
For 83–86, :
Now sum the products:
And recall total frequency:
5. Apply the formula
Using the assumed mean formula for grouped data:
Substitute values :
So, the mean heartbeats per minute for these 30 women is approximately:
(You may round to beats per minute if needed.)
6. What the visualization shows
The interactive visualization will:
- Draw a histogram-like bar chart of the grouped heart rate data.
- Mark each class midpoint.
- Show the assumed mean and the calculated mean on the axis as vertical neon lines.
- Let you adjust the assumed mean (and optionally the class width) to see how the step-deviation formula always produces the same mean.
- Visually compare and and how the weighted deviations balance around the mean.
This helps you see that the choice of assumed mean is only for easier calculation; the true mean is determined by the frequencies and midpoints, not by which you chose.
Interactive Visualization
Parameters
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