Business Statistics

Offered: Fall 2025

Programme: BBA (Semester-III) 

Course Code: CBA209 

Organization: Amity University, Punjab 

Course Brochure: (here)

Class Attendance (here)

Assessment Scores (here)

Theory Lectures

Week-1

• Lecture-1: Introduction to Business Statistics (here)

• Lecture-2: Arithmetic Mean (here)

• Lecture-3: Arithmetic Mean: Continuous, Merits and demerits (here)

• Lecture-4: Median (here)

Week-2

• Lecture-5: Measures of position and central tendency (here)

• Lecture 6: Quartiles, Deciles, Percentiles for grouped data (here)

• Lecture 7: Mode, GM & HM (here)

• Lecture-8: Example of GM & HM (here)

Week-3

• Lecture-9: Measures of dispersion (Range, Quartile deviation) (here)

• Lecture-10: Measures of dispersion (Mean and Standard deviation) (here)

• Lecture-11: Relative measures of dispersion (here)

• Lecture-12: Measures of Skewness (here)

Week-4

• Lecture-13: Skewness and Kurtosis (here)

• Lecture-14: Kurtosis and Moments (here)

• Lecture-15: Introduction to Probability (here)

Week-5

• Lecture-16: Counting Principles & Probability (here)

• Lecture-17: Probability Rules for Business Decision-Making-Conditional probability (here)

• Lecture-18: Law of total probability and Bayes theorem (here)

• Lecture-19: Random variable and pdf (here)

Week-6

• Lecture-20: Cumulative distribution (here)

Week-10

• Revision Lecture-19 and 20

• Lecture-21: Expected value and Variance (here)

• Lecture-22: Applications of Expected value, Variance and Introduction to discrete probability distributions (here)

Week-11

• Lecture-23: Discrete Probability Distributions (Bernoulli and Binomial Distributions) (here)

• Lecture-24: Poisson Distribution (here)

• Lecture-25: Continuous Probability Distributions: Normal Distribution (here), Z-Tables (here)

Week-12

• Lecture-26: Applications to Normal Distributions (here)

• Lecture-27: Correlation Analysis (Karl Pearson Correlation Coefficient) (here)

• Lecture-28: Correlation Analysis (Spearman's rank correlation coefficient-I) (here)

• Lecture-29: Correlation Analysis (Spearman's rank correlation coefficient-II) (here)

Week-13

• Lecture-30: Regression Analysis (here)

• Lecture-31: Application to regression analysis and Introduction to standard error estimate (SEE) (here)

• Lecture-32: Standard error of estimate (SEE), Standard error (SE), Probable error (PE) (here)

• Lecture-33: Case study: Correlation and Regression analysis (here)

Week-14

• Lecture-34: Index Numbers I (Unweighted) (here)

• Lecture-35: Index Numbers II (Weighted aggregated index) (here)

• Lecture-36: Index Numbers III (Weighted average relative index) (here)

Week-15

• Lecture-37: Time series analysis (here)