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Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

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yes	Bathinda College of Law, Bathinda

The Syllabus

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The Syllabus

Module 1 - Introduction and overview

Module 1 - Introduction and overview

Module 2 - Data and Types of Measurement

Module 2 - Data and Types of Measurement

Module 3 - Primary and Secondary Data: Merits and Demerits

Module 3 - Primary and Secondary Data: Merits and Demerits

Module 4 - Methods of Collecting Primary Data

Module 4 - Methods of Collecting Primary Data

Module 5 - Population and Sample: Merits and Demerits

Module 5 - Population and Sample: Merits and Demerits

Module 6 - Sampling Methods: Random and Non-Random

Module 6 - Sampling Methods: Random and Non-Random

Module 7 - Sampling Size and Distribution

Module 7 - Sampling Size and Distribution

Module 8 - Sampling and Non - Sampling Errors

Module 8 - Sampling and Non - Sampling Errors

Module 9 - Designing a Questionnaire: Editing and Pretesting

Module 9 - Designing a Questionnaire: Editing and Pretesting

Module 10 - Types of Interview Techniques

Module 10 - Types of Interview Techniques

Module 11 - Methods of Collecting Secondary Data

Module 11 - Methods of Collecting Secondary Data

Module 12 - Data Processing - Editing and Coding

Module 12 - Data Processing - Editing and Coding

Module 13 - Data Processing - Classification and Tabulation

Module 13 - Data Processing - Classification and Tabulation

Module 14 - Cross Tabulation and its Significance

Module 14 - Cross Tabulation and its Significance

Module 15 - Practical Problems

Module 15 - Practical Problems

Module 16 - Graphical Representation of Data - Line Graph, Bar Diagram and Pie Chart

Module 16 - Graphical Representation of Data - Line Graph, Bar Diagram and Pie Chart

Module 17 - Graphical Representation of Data – Histograms and Ogives

Module 17 - Graphical Representation of Data – Histograms and Ogives

Module 18 - Practical Problems of Graphical Representation

Module 18 - Practical Problems of Graphical Representation

Module 19 - Univariate Frequency Distribution-Measures of Central Tendency

Module 19 - Univariate Frequency Distribution-Measures of Central Tendency

Module 20 - Univariate Frequency Distribution-Measures of Dispersion

Module 20 - Univariate Frequency Distribution-Measures of Dispersion

Module 21 - Univariate Frequency Distribution- Skewness, Moments and Kurtosis

Module 21 - Univariate Frequency Distribution- Skewness, Moments and Kurtosis

Module 22 - Numerical Problems: Univariate Frequency Distribution

Module 22 - Numerical Problems: Univariate Frequency Distribution

Module 23 - Bivariate Frequency Distribution-Correlation, Various Methods

Module 23 - Bivariate Frequency Distribution-Correlation, Various Methods

Module 24 - Bivariate Frequency Distribution-Regression Analysis

Module 24 - Bivariate Frequency Distribution-Regression Analysis

Module 25 - Numerical Problems: Bivariate Frequency Distribution

Module 25 - Numerical Problems: Bivariate Frequency Distribution

Module 26 - Estimation of Population Parameters

Module 26 - Estimation of Population Parameters

Module 27 - Methods of Estimation

Module 27 - Methods of Estimation

Module 28 - Unbiased Estimator of Population Mean

Module 28 - Unbiased Estimator of Population Mean

Module 29 - Unbiased Estimator of Population Variance

Module 29 - Unbiased Estimator of Population Variance

Module 30 - Basic concepts of inference

Module 30 - Basic concepts of inference

Module 31 - Testing of hypothesis-types, uses

Module 31 - Testing of hypothesis-types, uses

Module 32 - Testing of hypothesis: t test

Module 32 - Testing of hypothesis: t test

Module 33 - Testing of hypothesis: F test

Module 33 - Testing of hypothesis: F test

Module 34 - Testing of hypothesis: Z test

Module 34 - Testing of hypothesis: Z test

Module 35 - Testing of hypothesis: Chi Square test

Module 35 - Testing of hypothesis: Chi Square test

Module 36 - ANOVA- one way and Interpretation

Module 36 - ANOVA- one way and Interpretation

Module 37 - ANOVA- two way and Interpretation

Module 37 - ANOVA- two way and Interpretation

Module 38 - Numerical Problems

Module 38 - Numerical Problems