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Summary Index Numbers – Simple, Aggregative, Laspeyres & Paasche Indices (Statistics)

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This document provides a complete explanation of index numbers in statistics, including their concept, uses, and construction methods. It covers price indices and quantity indices, simple index numbers for single commodities, and composite/aggregate index numbers for multiple commodities. The notes explain simple aggregative indices, average of price/quantity relatives, and their limitations. It then introduces weighted aggregative indices in detail: Laspeyres index (base-period weights) and Paasche index (current-period weights), with formulas, step-by-step procedures, numerical examples (wheat and rice), and interpretations. Perfect for business statistics, economics, or introductory university statistics courses.

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Chapter 7


Index Numbers
Detailed Study Notes



Statistics — Complete Concept Guide with Real-Life Examples




7.1 The Concept of Index Number

What is an Index Number?
An index number is a statistical tool (or device) that helps us compare the level or magnitude of a group
of related variables across two or more situations — usually across different time periods or different
places.

Simply put: it converts raw data into a single number that tells you how much things have changed
compared to a starting point (called the base period). The base period is always assigned a value of 100.

■ Real-Life Example: Price of Rice

Suppose a bag of rice cost ■40 in 2010 (base year) and ■56 in 2023 (current year).

The price index for 2023 = () × 100 = 140.

This tells us: rice is 40% more expensive in 2023 compared to 2010. Simple and clear!


■ Key Insight

The index number does NOT tell the actual price — it tells the PERCENTAGE CHANGE from a base.

Base period index is always = 100. Values above 100 mean increase; below 100 mean decrease.



7.2 Types of Index Numbers
Index numbers are classified in two major ways:

A) By What They Measure
Type What It Measures Real-Life Example

Consumer Price Index (CPI) — tracks
Price Index Change in price of goods
grocery prices

, Change in quantity/output of Wheat production index — how much
Quantity Index
goods wheat is produced


B) By Number of Commodities Involved
Index numbers are also classified by how many items (commodities) they cover:

• Simple Index Number — Built for a single commodity only. For example, just wheat output or just
rice price.
• Composite (Aggregate) Index Number — Built for a group of commodities together. Like a "basket
of goods" approach.

Composite indices are further divided into:

1. Simple Aggregative Indices — All commodities treated equally (no weighting).
2. Weighted Aggregative Indices — Different commodities given different importance (weights)
based on their significance.


■ Real-Life Analogy: Basket of Groceries

Imagine tracking price changes for a monthly grocery basket: milk, rice, wheat, and cooking oil.

A Simple Aggregative Index just adds all prices — so if cooking oil (expensive) doubles, it
dominates the index.

A Weighted Index gives more weight to items you buy more of (like rice) and less to luxury items —
much fairer!



7.3 Notations Used in Index Numbers
Before jumping into formulas, it is important to understand the notation system used throughout index
number theory:

Symbol Meaning Example

p Price of a commodity Price of rice = p

q Quantity of a commodity Kg of rice produced = q

p0 Price in the BASE year (period 0) Price of rice in 1961 = p0

p1 Price in period 1 (current year) Price of rice in 1963 = p1

Price index for period 1 relative to Index comparing 1963 prices to 1961
P01
period 0 base

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