Class 11th Statistics for Economics

person icon Madhu Bhatia

Class 11th Statistics for Economics

Simply Easy Learning

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Madhu Bhatia

architecture icon Teaching & Academics,Schools,11th Class


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Course Description

 We would learn about collection, organisation and presentation of quantitative and qualitative information pertaining to various simple economic aspects systematically. we will also learn about some basic statistical tools to analyse, and interpret any economic information and draw appropriate inferences so as to understand the behaviour of various economic data.


We shall in this course learn about topics related to  class 11th Statistics CBSE . We shall learn about what is statistics, important terms, how data is collected, organised and presented. We shall learn about Measures of Central Tendency, Measure of Dispersion, correlation & Index Numbers. Each video shall have indept problems for each of the topic covered.

Class 11th Statistics for Economics


Check out the detailed breakdown of what’s inside the course

Statistics For Economics
7 Lectures
  • play icon Statistics For Economics - Introduction 03:46 03:46
  • play icon Statistics For Economics - Types of Activities 02:47 02:47
  • play icon Statistics For Economics - Economic Problem 02:21 02:21
  • play icon Statistics For Economics - Meaning of Statistics 05:26 05:26
  • play icon Statistics For Economics - Functions & Scope of Statistics 03:12 03:12
  • play icon Importance and Limitations of Statistics in Economics 06:12 06:12
  • play icon Statistics For Economics - Exercises 02:02 02:02
Collection, Organisation & Presentation Of Data
10 Lectures
Statistical Tools and Interpretation
23 Lectures

Instructor Details



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Tracy Rutkowski

the third part which included the statistical methods only gave the definition and how to do the math but not really any use-cases or applications in economics. same with the part that explains index numbers - definition and math but no concrete statistical applications - hows and whys and whens.

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