Mean Heartbeats per Minute (Grouped Data – Assumed Mean Method)

April 14, 2026

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:

N=2+4+3+8+7+4+2=30N = 2 + 4 + 3 + 8 + 7 + 4 + 2 = 30

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

midpoint=lower limit+upper limit2\text{midpoint} = \frac{\text{lower limit} + \text{upper limit}}{2}

So we get:

  • 65–68: midpoint x1=65+682=66.5x_1 = \frac{65+68}{2} = 66.5
  • 68–71: midpoint x2=69.5x_2 = 69.5
  • 71–74: midpoint x3=72.5x_3 = 72.5
  • 74–77: midpoint x4=75.5x_4 = 75.5
  • 77–80: midpoint x5=78.5x_5 = 78.5
  • 80–83: midpoint x6=81.5x_6 = 81.5
  • 83–86: midpoint x7=84.5x_7 = 84.5

We now have pairs (xi,fi)(x_i, f_i) where xix_i is midpoint and fif_i 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: h=3h = 3 (for all classes)
  • Assumed mean: pick a central class midpoint to simplify; a natural choice is a=75.5a = 75.5 (midpoint of 74–77, the class with highest frequency).

Define for each class:

  • xix_i: class midpoint
  • di=xiad_i = x_i - a: deviation from assumed mean
  • ui=dih=xiahu_i = \frac{d_i}{h} = \frac{x_i - a}{h}

Then the mean is computed as:

xˉ=a+hfiuifi\bar{x} = a + h \, \frac{\sum f_i u_i}{\sum f_i}

4. Compute uiu_i and fiuif_i u_i

Using a=75.5a = 75.5 and h=3h = 3:

  1. For 65–68, x1=66.5x_1 = 66.5:

    • d1=66.575.5=9d_1 = 66.5 - 75.5 = -9
    • u1=93=3u_1 = \frac{-9}{3} = -3
    • f1=2f1u1=2(3)=6f_1 = 2 \Rightarrow f_1 u_1 = 2 \cdot (-3) = -6
  2. For 68–71, x2=69.5x_2 = 69.5:

    • d2=69.575.5=6d_2 = 69.5 - 75.5 = -6
    • u2=63=2u_2 = \frac{-6}{3} = -2
    • f2=4f2u2=4(2)=8f_2 = 4 \Rightarrow f_2 u_2 = 4 \cdot (-2) = -8
  3. For 71–74, x3=72.5x_3 = 72.5:

    • d3=72.575.5=3d_3 = 72.5 - 75.5 = -3
    • u3=1u_3 = -1
    • f3=3f3u3=3(1)=3f_3 = 3 \Rightarrow f_3 u_3 = 3 \cdot (-1) = -3
  4. For 74–77, x4=75.5x_4 = 75.5:

    • d4=0u4=0d_4 = 0 \Rightarrow u_4 = 0
    • f4=8f4u4=0f_4 = 8 \Rightarrow f_4 u_4 = 0
  5. For 77–80, x5=78.5x_5 = 78.5:

    • d5=78.575.5=3u5=1d_5 = 78.5 - 75.5 = 3 \Rightarrow u_5 = 1
    • f5=7f5u5=7f_5 = 7 \Rightarrow f_5 u_5 = 7
  6. For 80–83, x6=81.5x_6 = 81.5:

    • d6=81.575.5=6u6=2d_6 = 81.5 - 75.5 = 6 \Rightarrow u_6 = 2
    • f6=4f6u6=8f_6 = 4 \Rightarrow f_6 u_6 = 8
  7. For 83–86, x7=84.5x_7 = 84.5:

    • d7=84.575.5=9u7=3d_7 = 84.5 - 75.5 = 9 \Rightarrow u_7 = 3
    • f7=2f7u7=6f_7 = 2 \Rightarrow f_7 u_7 = 6

Now sum the products:

fiui=6+(8)+(3)+0+7+8+6\sum f_i u_i = -6 + (-8) + (-3) + 0 + 7 + 8 + 6 fiui=(683)+(7+8+6)=17+21=4\sum f_i u_i = (-6 - 8 - 3) + (7 + 8 + 6) = -17 + 21 = 4

And recall total frequency:

fi=N=30\sum f_i = N = 30

5. Apply the formula

Using the assumed mean formula for grouped data:

xˉ=a+hfiuifi\bar{x} = a + h \, \frac{\sum f_i u_i}{\sum f_i}

Substitute values a=75.5,h=3,fiui=4,fi=30a = 75.5, h = 3, \sum f_i u_i = 4, \sum f_i = 30:

xˉ=75.5+3430\bar{x} = 75.5 + 3 \cdot \frac{4}{30} xˉ=75.5+3215\bar{x} = 75.5 + 3 \cdot \frac{2}{15} xˉ=75.5+615=75.5+0.4=75.9\bar{x} = 75.5 + \frac{6}{15} = 75.5 + 0.4 = 75.9

So, the mean heartbeats per minute for these 30 women is approximately:

xˉ75.9 beats per minute\boxed{\bar{x} \approx 75.9 \text{ beats per minute}}

(You may round to 7676 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 aa and xˉ\bar{x} and how the weighted deviations fiuif_i u_i 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 aa you chose.

Interactive Visualization

Parameters

75.50
0.80
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Mean Heartbeats per Minute (Grouped Data – Assumed Mean Method) | MathSpin