Skewness|Pearsonian Measure of Skewness| Quartile Measure of Skewness| BA Program |Data Analysis|L10
Channel: Beyond the Classroom
Date: 2020-09-04

This. is lecture 10 of the course on Data Analysis. The course structure is as follows: 
1. Sources of data. Population census versus sample surveys. Random sampling 
 2. Univariate frequency distributions. Measures of Central tendency: mean, median and mode, arithmetic , geometric and harmonic mean. Measures of dispersion and skewness and kurtosis
 3.Bivariate frequency distribution. Correlation and regression. Rank correlation.
 4. Introduction to Probability Theory. Notions of random experiment: sample space, event, probability of an event. Conditional probability. Independence of events. Random variables and probability distributions. Binomial and normal distributions.
 5. Estimation of population parameters from sample data. Unbiased estimators for population mean and variance.
 6. Basics of Index numbers: price and quantity index numbers
This course is offered to B.A. Program V semester as Skill Enhancement course in Economics. The course follows the syllabus prescribed by University of Delhi.
We discuss the concept of skeweness, pearsonian and quartile measure of skewness in this video.