1. Scarcity, choice and economics
Human wants are unlimited, but the resources that can satisfy them are scarce and have alternative uses. So individuals and societies must choose. Economics studies how they choose to use scarce resources to satisfy wants.
Example: an imagined family with ₹10,000 a month cannot buy everything; it puts food and school fees first and postpones a holiday.
| Imagined case | Wants | Limited resource | Choice made |
|---|---|---|---|
| A family in Rangpur | Food, school fees, a phone, a holiday | ₹10,000 a month | Food and fees first; the holiday waits |
| Farida's bakery in Pipalnagar | Cakes and bread in the morning shift | One oven | Bread now, cakes in the afternoon |
| A village panchayat | A road, a school room, a well | One year's funds | The well first |
Key terms
- Scarcity
The limited availability of resources compared with the wants they could satisfy.
- Economics
The study of how individuals and society choose to use scarce resources to satisfy their wants.
- Alternative uses
The possibility of putting the same resource to different purposes.
2. Economic activities and agents
Consumption is the use of goods and services to satisfy wants. Production is creating goods and services from inputs. Distribution is the sharing of the income of production among those who helped, as wages, rent, interest and profit.
The economic agents are consumers, producers, service holders and the government. A person can play more than one role.
| Economic agent | Meaning | Imagined example |
|---|---|---|
| Consumer | Uses goods and services to satisfy wants | Meena buying vegetables |
| Producer | Organises inputs and makes goods or services for sale | Pooja running a chalk factory |
| Service holder | Earns a salary or wage by working for others | Rita teaching in a private school |
| Government | Provides public services and raises revenue through taxes | The water department laying pipelines |
Key terms
- Consumption
Using goods and services to satisfy human wants.
- Production
Creating goods and services using land, labour, capital and enterprise.
- Distribution
Sharing the income from production among the factors that contributed.
- Service holder
A person who earns a salary or wage by working for others.
3. Meaning of statistics
In the plural sense, statistics means numerical facts (data), for example six imagined years of rainfall readings. In the singular sense, statistics is the science of collecting, organising, presenting, analysing and interpreting numerical data.
Key terms
- Statistics (plural)
Aggregates of numerical facts about a subject.
- Statistics (singular)
The science of collecting, organising, presenting, analysing and interpreting numerical data.
4. Quantitative and qualitative data
Quantitative data are measured numerically (income, marks, price). Qualitative data are attributes (gender, region, preference); they cannot be measured but can be counted by categories, and shares can be found: share = count in the category ÷ total × 100.
In the imagined Sarangpur survey of 80 households, 32 earn mainly from farming: 32 ÷ 80 × 100 = 40 per cent.
| Quantitative data | Qualitative data | |
|---|---|---|
| Nature | Measured as numbers | Attributes or qualities |
| Examples | Income, marks, price, rainfall | Gender, region, occupation, preference |
| Summarised by | Totals, averages, ranges of values | Counts and shares by category |
| Source of income | Households | Working | Share (%) |
|---|---|---|---|
| Farming | 32 | 32 ÷ 80 × 100 | 40 |
| Wage labour | 20 | 20 ÷ 80 × 100 | 25 |
| Trade | 12 | 12 ÷ 80 × 100 | 15 |
| Service | 10 | 10 ÷ 80 × 100 | 12.5 |
| Other | 6 | 6 ÷ 80 × 100 | 7.5 |
| Total | 80 | 100 |
Key terms
- Quantitative data
Data measured as numbers.
- Qualitative data
Data describing attributes, which can be counted by category.
5. Scope, functions and importance of statistics in economics
- Presents facts in a precise, definite form.
- Condenses data into summary measures such as averages and ratios.
- Finds relationships between economic factors, such as price and quantity demanded, or income and saving.
- Forecasting and policy-making, for example planning food stocks from past consumption.
- Used by consumers, producers, government and researchers.
Importance: economic theories are tested with data, and policies are framed and judged with data.
| Day | Mon | Tue | Wed | Thu | Fri | Sat | Total | Average |
|---|---|---|---|---|---|---|---|---|
| Sales (₹) | 4,200 | 3,800 | 4,000 | 4,600 | 5,400 | 5,000 | 27,000 | 4,500 |
| Price of a bun (₹) | 10 | 12 | 14 | 16 | 18 |
|---|---|---|---|---|---|
| Buns sold per day | 50 | 44 | 38 | 32 | 26 |
| Fall in buns sold for each ₹2 rise | 6 | 6 | 6 | 6 |
| Year | 1 | 2 | 3 | 4 | 5 (forecast) |
|---|---|---|---|---|---|
| Monthly rice consumption in Rangpur (tonnes) | 400 | 420 | 440 | 460 | 480 |
| Rise over the previous year | 20 | 20 | 20 | 20 |
| User | Uses statistics to | Imagined case |
|---|---|---|
| Consumer | Compare prices and quality | Averaging asking prices of seven second-hand scooters |
| Producer | Decide output and price | A bag maker studying sales in five towns |
| Government | Plan and frame policy | Matching ration shops to households in a block |
| Researcher | Test theories | Checking whether saving rises with income |
Key terms
- Forecasting
Estimating future values from the trend in past data.
- Summary measure
A single figure, such as an average, that stands for many observations.
6. Limitations of statistics
- It deals with aggregates, not single individuals.
- Its results hold on the average, not in every case.
- It can be misused if data are collected carelessly or interpreted wrongly.
These limits call for careful use; they do not make statistics useless.
| Limitation | What it means | Imagined illustration |
|---|---|---|
| Deals with aggregates | It describes groups, not a single unit | An average income of ₹36,000 says little about one family |
| True on the average | A result need not hold in every case | Most richer families save more, but one may not |
| Can be misused | Careless data or reading gives wrong conclusions | Asking ten people at one counter and claiming all customers agree |
Key terms
- Aggregate
A total or group of units taken together, as opposed to a single unit.
Exam tips
Common mistakes
- Defining statistics in only one sense.
- Calling an attribute such as occupation quantitative.
- Confusing distribution (sharing the income of production) with the sale of goods.
- Writing a percentage without showing the formula.
- Saying an average holds for every individual.
Tips
- Use a specific example for every function.
- Mention aggregates and average truth when judging a claim.