Business Statistics Fundamentals

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course Overview

Chapter 2: Introduction to Statistics

Lecture 1: Definition, Types and Importance (1)

Lecture 2: Definition, Types and Importance (2)

Lecture 3: Types of Data

Lecture 4: Important Terms (1)

Lecture 5: Important Terms (2)

Chapter 3: Graphical Representation of Data

Lecture 1: Need for Graphical Representation

Lecture 2: Bar and Column Charts

Lecture 3: Line and Area Charts

Lecture 4: Pie Charts

Lecture 5: Scatter Plots and Bubble Diagrams

Lecture 6: Some Other Graphical Representations

Lecture 7: Frequency Distribution Plots

Lecture 8: Graphical Representation Using MS Excel

Lecture 9: Excel Exercise 1: Bar and Column Charts

Lecture 10: Excel Exercise 2: Line and Area Charts

Lecture 11: Excel Exercise 3: Scatter Diagram and Bubble Plots

Lecture 12: Excel Exercise 4: Pie Charts

Lecture 13: Excel Exercise 5: Stock Plots

Lecture 14: Excel Exercise 6: Radar Charts

Lecture 15: Excel Exercise 7: Histograms

Chapter 4: Measures of Central Tendency

Lecture 1: What is Central Tendency?

Lecture 2: Arithmetic Mean (1)

Lecture 3: Arithmetic Mean (2)

Lecture 4: Geometric and Harmonic Means

Lecture 5: Median

Lecture 6: Quartiles and Percentiles

Lecture 7: Mode

Lecture 8: Calculating Central Tendency with Google Sheet

Chapter 5: Measures of Dispersion

Lecture 1: Introduction

Lecture 2: Important Notes About Lecture 31

Lecture 3: Quartile Deviation

Lecture 4: Mean Deviation

Lecture 5: Standard Deviation

Lecture 6: Calculating Dispersion with Google Sheets

Chapter 6: Skewness and Kurtosis

Lecture 1: What are Skewness and Kurtosis?

Lecture 2: Moments

Lecture 3: Measures of Skewness (1)

Lecture 4: Measures of Skewness (2)

Lecture 5: Measures of Kurtosis

Lecture 6: Calculating Skewness and Kurtosis with Google Sheet

Chapter 7: Data Analysis Exercise Part 1 : Global Economy

Lecture 1: Excel Exercise: Univariate Analysis of World Economy

Chapter 8: Bivariate Data Analysis

Lecture 1: Introduction

Lecture 2: Covariance and Correlation (1)

Lecture 3: Covariance and Correlation (2)

Lecture 4: Linear Regression

Lecture 5: Other Regression Models

Lecture 6: Interpolation and Extrapolation (1)

Lecture 7: Interpolation and Extrapolation (2)

Chapter 9: Data Analysis Exercise Part 2 : Global Economy

Lecture 1: Excel Exercise: Bivariate Analysis of World Economy

Lecture 2: Bivariate Analysis with Google Sheets

Chapter 10: Index Numbers

Lecture 1: Introduction

Lecture 2: Construction of Index Numbers

Lecture 3: Tests of Adequacy

Lecture 4: Fixed Base and Chain Base Indices

Lecture 5: Deflating, Base Shifting and Splicing

Chapter 11: Time Series Analysis

Lecture 1: Introduction: Components of Time Series

Lecture 2: Secular Trend (1)

Lecture 3: Secular Trend (2)

Lecture 4: Seasonal Fluctuation (1)

Lecture 5: Seasonal Fluctuation (2)

Chapter 12: Probability

Lecture 1: Introduction

Lecture 2: Common Terms

Lecture 3: Basic Concepts (1)

Lecture 4: Basic Concepts (2)

Lecture 5: Additive Law

Lecture 6: Multiplicative Law

Lecture 7: Conditional Probability and Bayes' Theorm

Lecture 8: Probability Distribution

Lecture 9: Mathematical Expectation

Lecture 10: Binomial Distribution

Lecture 11: Poisson Distribution

Lecture 12: Normal Distribution

Lecture 13: Generating Normal Curve with Google Sheet

Chapter 13: Hypothesis Testing

Lecture 1: Introduction

Lecture 2: Steps in Hypothesis Testing

Lecture 3: Determining the Test Statistic (1)

Lecture 4: Determining the Test Statistic (2)