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Brief syllabus for CBSE XI th for 2018-19
ECONOMICS
CLASS –
XI (2018-19)
Theory: 80 Marks
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Project: 20 Marks
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3 Hours
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Units
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Marks
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Periods
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Part A
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Introductory Microeconomics
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Introduction
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4
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8
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Consumer's Equilibrium and Demand
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13
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32
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||
Producer Behaviour and Supply
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13
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32
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Forms of Market and Price Determination under
perfect
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10
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28
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competition
with simple applications
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40
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100
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Part B
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Statistics for Economics
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1.
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Introduction
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13
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07
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2.
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Collection, Organisation and Presentation of Data
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27
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3.
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Statistical Tools and Interpretation
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27
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66
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40
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100
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Part C
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Project Work
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20
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20
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Part A: Introductory Microeconomics
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Unit 1: Introduction
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What is an economy? Central problems of an economy:
what, how and for whom to produce;
concepts of production possibility frontier
and opportunity cost.
Unit 2: Consumer's Equilibrium
and Demand 32 Periods
Consumer's equilibrium - meaning of utility,
marginal utility, law of diminishing marginal utility, conditions of consumer's
equilibrium using marginal utility analysis.
Indifference curve analysis of consumer's
equilibrium-the consumer's budget (budget set and budget line), preferences of
the consumer (indifference curve, indifference map) and conditions of
consumer's equilibrium.
Demand, market demand, determinants of demand,
demand schedule, demand curve and its slope, movement along and shifts in the
demand curve; price elasticity of demand - factors affecting price elasticity
of demand; measurement of price elasticity of demand – percentage-change
method.
Meaning of Production Function – Short-Run and Long-Run
Total
Product, Average Product and Marginal Product.
Returns
to a Factor
Cost: Short run costs - total cost, total fixed
cost, total variable cost; Average cost; Average fixed cost, average variable
cost and marginal cost-meaning and their relationships.
Revenue -
total, average and marginal revenue - meaning and their relationship.
Producer's equilibrium-meaning and its conditions
in terms of marginal revenue-marginal cost. Supply, market supply, determinants
of supply, supply schedule, supply curve and its slope, movements along and
shifts in supply curve, price elasticity of supply; measurement of price
elasticity of supply - percentage-change method.
Unit 4: Forms
of Market and
Price Determination under
Perfect Competition with
simple
applications. 28
Periods
Perfect competition - Features; Determination of
market equilibrium and effects of shifts in demand and supply.
Other Market Forms - monopoly, monopolistic
competition, oligopoly - their meaning and features.
Simple
Applications of Demand and Supply: Price ceiling, price floor.
Part B: Statistics for Economics
In this course, the learners are expected to
acquire skills in collection, organisation and presentation of quantitative and
qualitative information pertaining to various simple economic aspects
systematically. It also intends to provide some basic statistical tools to
analyse, and interpret any economic information and draw appropriate
inferences. In this process, the learners are also expected to understand the
behaviour of various economic data.
Unit 1 Introduction
What is Economics?
Meaning,
scope, functions and importance of statistics in Economics
Unit 2: Collection, Organisation
and Presentation of data 27 Periods
Collection of data - sources
of data - primary and secondary; how basic data is collected, with concepts of Sampling; Sampling and
Non-Sampling errors; methods of collecting data; some important sources of
secondary data: Census of India and National Sample Survey Organisation.
Organisation of Data: Meaning
and types of variables; Frequency Distribution.
Presentation
of Data: Tabular Presentation and
Diagrammatic Presentation of Data: (i) Geometric
forms (bar diagrams and pie diagrams), (ii) Frequency diagrams (histogram,
polygon and ogive) and (iii) Arithmetic line graphs (time series graph).
Unit 3: Statistical Tools and
Interpretation 66 Periods
(For all the numerical problems and solutions, the
appropriate economic interpretation may be attempted. This means, the students
need to solve the problems and provide interpretation for the results derived.)
Measures
of Central Tendency- mean (simple and weighted), median and mode
Measures
of Dispersion - absolute dispersion (range,
quartile deviation, mean deviation and standard deviation); relative dispersion (co-efficient of range,
co-efficient of quartile-deviation, co-efficient of mean deviation,
co-efficient of variation); Lorenz Curve: Meaning, construction and its
application.
Correlation
– meaning
and properties, scatter diagram; Measures of correlation - Karl Pearson's
method (two variables ungrouped
data) Spearman's rank correlation.
Introduction
to Index Numbers - meaning, types - wholesale
price index, consumer price index and index
of industrial production, uses of index numbers; Inflation and index numbers.
Part C: Developing Project in
Economics 20 Periods
Objective for project:
The students may be encouraged to develop projects,
as per the suggested project guidelines. Case studies of a few organisations /
outlets may also be encouraged. Under this the students will do only ONE comprehensive project using concepts from both part A and part
B.
Some of
the examples of the projects are as follows (they are not mandatory but
suggestive):
(i) A report
on demographic structure of your neighborhood.
(ii) Changing
consumer awareness amongst households.
(iii) Dissemination
of price information for growers and its impact on consumers.
(iv) Study of
a cooperative institution: milk cooperatives, marketing cooperatives, etc.
(v) Case
studies on public private partnership, outsourcing and outward Foreign Direct
Investment.
(vi) Global
warming.
(vii) Designing
eco-friendly projects applicable in school such as paper and water recycle.
The idea behind introducing this unit is to enable
the students to develop the ways and means by which a project can be developed
using the skills learned in the course. This includes all the steps involved in
designing a project starting from choosing a title, exploring the information
relating to the title, collection of primary and secondary data, analysing the
data, presentation of the project and using various statistical tools and their
interpretation and conclusion.
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