๐Ÿ“˜ Introduction

Statistics deals with the collection, analysis, interpretation, and presentation of data. This chapter focuses on how to:

  • Organize grouped data

  • Represent it graphically (histograms, ogives)

  • Find mean, median, and mode for grouped data

These are measures of central tendency, which help us understand the data better.


๐Ÿ“Š 1. Important Definitions

  • Data: Information collected in raw form.

  • Class Interval: The range in which data is grouped (e.g., 0–10, 10–20).

  • Frequency: Number of times a value appears.

  • Class Mark: Midpoint of a class = Lower limit + Upper limit2\frac{\text{Lower limit + Upper limit}}{2}


๐Ÿ”ข 2. Mean (Grouped Data)

Mean Formula (Using Assumed Mean method):

xห‰=a+fdf\bar{x} = a + \frac{\sum fd}{\sum f}

Where:

  • aa = assumed mean

  • ff = frequency

  • d=xad = x - a = deviation

  • xx = class mark = lower limit + upper limit2\frac{\text{lower limit + upper limit}}{2}

๐Ÿ“Œ This method simplifies calculation for large data.


➗ 3. Median (Grouped Data)

Steps:

  1. Find the cumulative frequency (cf).

  2. Find the median class: Class with N2\frac{N}{2} where N=fN = \sum f

  3. Apply the formula:

Median=l+(N2Ff)×h\text{Median} = l + \left(\frac{\frac{N}{2} - F}{f}\right) \times h

Where:

  • ll = lower boundary of the median class

  • NN = total frequency

  • FF = cumulative frequency before median class

  • ff = frequency of median class

  • hh = class width


๐Ÿ“ˆ 4. Mode (Grouped Data)

Mode Formula:

Mode=l+(f1f02f1f0f2)×h\text{Mode} = l + \left( \frac{f_1 - f_0}{2f_1 - f_0 - f_2} \right) \times h

Where:

  • ll = lower limit of modal class

  • f1f_1 = frequency of modal class

  • f0f_0 = frequency before modal class

  • f2f_2 = frequency after modal class

  • hh = class width


๐Ÿ“‰ 5. Graphical Representation

  • Histogram: Bars representing class intervals vs frequency.

  • Frequency Polygon: Line graph joining midpoints of histogram bars.

  • Ogives:

    • Less than Ogive: Plot cumulative frequencies from lower limits.

    • More than Ogive: Plot from upper limits.

๐Ÿ“Œ Intersection of less than and more than ogive gives median.


๐Ÿ’ก Example Problems

Q1. Calculate the mean of the following data:

Class IntervalFrequency
0–105
10–208
20–3015
30–4016
40–506

✅ Use class marks and assumed mean method to solve.

Q2. Find the median of this data:

Class IntervalFrequency
0–5010
50–10020
100–15030
150–20025
200–25015

๐Ÿ“ Key Points to Remember

  • Use class marks for mean calculation.

  • Median = middle value, useful in skewed distributions.

  • Mode = most frequent value; helps identify trends.

  • Graphical methods enhance understanding.

  • Mean < Median < Mode (in left-skewed data) or Mean > Median > Mode (in right-skewed).


๐Ÿ“š Summary Table

MeasureFormula
Meanxห‰=a+fdf\bar{x} = a + \frac{\sum fd}{\sum f}
Medianl+(N2Ff)×hl + \left(\frac{\frac{N}{2} - F}{f}\right) \times h
Model+(f1f02f1f0f2)×hl + \left( \frac{f_1 - f_0}{2f_1 - f_0 - f_2} \right) \times h

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