Chapter 1 : Introduction to Statistics

Chapter 2 : Classification and Presentation of Data

Chapter 3 : Measures of Central Tendency

5 hr 56 min 5 Lectures

Chapter 4 : Measure of Dispersion

4 hr 7 min 4 Lectures

Chapter 5 : Measures of Skewness, Kurtosis and Moments

4 hr 59 min 5 Lectures

Chapter 6 : Simple Correlation and Regression Analysis

4 hr 41 min 4 Lectures

Chapter 7 : Analysis of Time Series

5 hr 47 min 5 Lectures

Chapter 8 : Index Numbers

5 hr 17 min 5 Lectures

Chapter 9 : Probability

1 hr 16 min 1 Lectures

Chapter 10 : Sampling and Estimation

Chapter 11 : Quantitative Analysis

Chapter 12 : Linear Programming Problem

2 hr 5 min 2 Lectures

Chapter 13 : Determinant Problem

10 hr 52 min 10 Lectures

Chapter 14 : Matrix