📘 Introduction
Statistics deals with the collection, analysis, interpretation, and presentation of data. This chapter focuses on how to:
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Organize grouped data
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Represent it graphically (histograms, ogives)
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Find mean, median, and mode for grouped data
These are measures of central tendency, which help us understand the data better.
📊 1. Important Definitions
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Data: Information collected in raw form.
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Class Interval: The range in which data is grouped (e.g., 0–10, 10–20).
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Frequency: Number of times a value appears.
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Class Mark: Midpoint of a class =
🔢 2. Mean (Grouped Data)
Mean Formula (Using Assumed Mean method):
Where:
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= assumed mean
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= frequency
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= deviation
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= class mark =
📌 This method simplifies calculation for large data.
➗ 3. Median (Grouped Data)
Steps:
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Find the cumulative frequency (cf).
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Find the median class: Class with where
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Apply the formula:
Where:
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= lower boundary of the median class
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= total frequency
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= cumulative frequency before median class
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= frequency of median class
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= class width
📈 4. Mode (Grouped Data)
Mode Formula:
Where:
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= lower limit of modal class
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= frequency of modal class
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= frequency before modal class
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= frequency after modal class
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= class width
📉 5. Graphical Representation
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Histogram: Bars representing class intervals vs frequency.
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Frequency Polygon: Line graph joining midpoints of histogram bars.
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Ogives:
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Less than Ogive: Plot cumulative frequencies from lower limits.
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More than Ogive: Plot from upper limits.
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📌 Intersection of less than and more than ogive gives median.
💡 Example Problems
Q1. Calculate the mean of the following data:
Class Interval | Frequency |
---|---|
0–10 | 5 |
10–20 | 8 |
20–30 | 15 |
30–40 | 16 |
40–50 | 6 |
✅ Use class marks and assumed mean method to solve.
Q2. Find the median of this data:
Class Interval | Frequency |
---|---|
0–50 | 10 |
50–100 | 20 |
100–150 | 30 |
150–200 | 25 |
200–250 | 15 |
📝 Key Points to Remember
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Use class marks for mean calculation.
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Median = middle value, useful in skewed distributions.
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Mode = most frequent value; helps identify trends.
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Graphical methods enhance understanding.
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Mean < Median < Mode (in left-skewed data) or Mean > Median > Mode (in right-skewed).
📚 Summary Table
Measure | Formula |
---|---|
Mean | |
Median | |
Mode |
📥 Download Chapter 14 PDF Notes – Coming Soon
🔁 Previous Chapter: Chapter 13 – Surface Areas and Volumes »
📘 Next Chapter: Chapter 15 – Probability »
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