Commercial Statistics 1 eBook. Download
Linear Programming Problems Lecture Notes. Download
Elementary Probability Theory Lecture Notes. Download
Permutations and Combinations: Lecture Notes. Download
Mutual Funds: Lecture Notes. Download
Shares: Lecture Notes. Download
Decision Theory: Lecture Notes. Download
Measures of Dispersion: Lecture Notes. Download
Measures of Central Tendencies: Lecture Notes. Download
Mathematical and Statistical Techniques e-notes: Download
Mathematical and Statistical Techniques 2: Lecture Notes Time Series
Mathematical and Statistical Techniques 2: Lecture Notes Elementary Probability Distribution
Lecture 11: Standard weighted index numbers (3rd March 2022; 12.10 p.m.)
Lecture 10: Weighted index numbers 1 and 2 (24th February 2022; 12.10 p.m.)
Lecture 9: Unweighted index numbers (21st February 2022; 10.00 a.m.)
Lecture 7, 8: Moving averages and least squares method (17th February 2022; 11.00 a.m., 11.50 a.m.)
Lecture 6: Bivariate linear regression (14th February 2022; 10.00 a.m.)
Lecture 5: Regression equations (10th February 2022, 12.10 a.m.)
Lecture 4: Rank correlation (3rd February 2022, 11.00 a.m.)
Lecture 3: Rank correlation (3rd February 2022, 10.00 a.m.)
Lecture 2: Scatter diagram and coefficient of correlation (31st January 2022; 10.00 a.m.)
Lecture 1 Bivariate data and scatter diagram (27/01/2022; 12.10 p.m.)
Lecture 22: Recording NA (13/01/2022; 11.00 a.m.)
Lecture 21: Expectations and variance of a P.D. (10/01/2022; 10.00 a.m.)
Lecture 20: Recording NA (06/01/2022; 12.10 p.m.)
Lecture 19: Recording NA (03/01/2022; 10.00 a.m.)
Lecture 18: Probability theory- introduction (23/12/2021; 12.10p.m.)
Lecture 17: Recording NA (20/12/2021; 10.00 a.m.)
Lecture 16: Mutual funds (16/12/2021; 12.10 p.m.)
Lecture 15: Shares (13/12/2021; 10.00 a.m.)
Lecture 14:Linear programming problems formulation (09/12/2021; 11.10 a.m. to 12.30 p.m.)
Lecture 13: Permutation with repetitions, combinations (02/12/2021; 12.10 p.m.)
Lecture 12: Permutations (29/11/2021; 10.00 a.m.)
Lecture 11: Variance and standard deviation, permutation and combination (22/11/2021; 10.00 a.m.)
Lecture 10: Measures of dispersion: Introduction (18/11/2021; 12.10 p.m.)
Lecture 9: Quartiles, deciles and percentiles (15/11/2021; 10.00 a.m.)
Lecture 18: Compound interest, annuities and emi (08/04/2021; 11.10 a.m. to 12.00 p.m.)
Lecture 16: Derivatives and marginal demands, supply, etc, ; Simple interest (01/04/2021; 11.10 a.m. to 12.00 p.m.)
Lecture 15: Cost, revenue and profit functions; Derivatives (25/03/2021; 11.10 a.m. to 12.00 p.m.)
Lecture 14: Types of function, demand , supply, break-even point (20/03/2021; 12.15 p.m. to 1.05 p.m.)
Lecture 13: Domain, codomain, range; types of functions (18/03/2021; 11.10 a.m. to 12.00 p.m.)
Lecture 12: Poison distribution, normal distribution, standard normal distribution (15/03/2021; 1.00 a.m. to 10.50 a.m.)
Lecture 11: Mean and variance of binomial distribution, Poisson distribution (08/03/2021; 10.00 a.m. to 10.50 a.m.)
Lecture 10: Probability distribution, Bernoulli trial, binomial distribution (04/03/2021; 10.00 a.m. to 11.40 a.m.)
Lecture 9: Standard weighted index numbers and cost of living index number (25/02/2021; 10.00 a.m. to 11.40 a.m.)
Lecture 8: Simple index numbers (23/02/2021; 11.10 a.m. to 12.00 p.m.)
Lecture 7: Least squares method (22/02/2021; 1.00 a.m. to 10.50 a.m.)
Lecture 6: Time series (18/02/2021; 11.10 a.m. to 12.00 p.m.)
Lecture 5: Analysing regression equations (15/02/2021; 10.00 a.m. to 10.50 a.m.)
Lecture 4: Regression equations (11/02/2021; 11.01 a.m. to 12.00 p.m.)
Lecture 3: Rank correlation (08/02/2021; 10.00 a.m to 10.50 a.m.)
Lecture 2: Scatter diagram, coefficient of correlation (27/01/2021; 11.10 a.m. to 12.00 a.m.)
Lecture 1: Introduction (18th January 2021; 10.00 a.m. to 10.50 a.m.)
Unit 4: Probability
Lecture 18 (24th December 2020; 10.50 a.m. to 12.15 p.m)
Unit 2: Permutations, Combinations and L.P.P.
Lecture 17 (21st December 2020; 10.00 a.m. to 11.40 a.m.)
Lecture 16 (19th December 2020; 12.15 p.m. to 1.05 p.m.)
Lecture 15 (14th December 2020; 10.00 a.m. to 10.50 a.m.)
Unit 1: Shares and Mutual Funds
Lecture 14 (10th December 2020; 10.25 a.m. to 11.50 a.m.)
Unit 3: Summarization Measures
Lecture 13:Range, Quartile Deviation, Standard Deviation, Introduction of Unit 1 (9th December 2020; 11.10 a.m. to 12.20 p.m.)
Lecture 12: Quartiles, Deciles and Percentiles (3rd December 2020; 11.10 a.m. to 12.00 p.m.)
Lecture 11: Mode of Raw Data and Grouped Frequency Distribution (28th November 2020; 12.15 p.m. to 1.20 p.m.)
Lecture 10 (23rd November 2020; 10.00 a.m. to 10.50 a.m.)
Lecture 9 (19th November 2020; 11.10 a.m. to 12.00 p.m.)
Lecture 8 (9th November 2020; 10.00 a.m. to 10.50 a.m.)
Lecture 7 (5th November 2020; 11.10 a.m. to 12.00 p.m.)
Unit 5: Decision Theory
Lecture 6 (29th October 2020; 11.10 a.m. to 12.00 p.m.)
Lecture 5 (26th October 2020; 10.00 a.m. to 10.50 a.m.)
Lecture 4 (19th October 2020; 10.00 a.m. to 10.50 a.m.)
Lecture 3 (5th October 2020; 10.00 a.m. to 10.50 a.m.)
Lecture 2 (28th September 2020; 10.00 a.m. to 10.50 a.m.)
Lecture 1 (21st September 2020; 10.00 a.m. to 10.50 a.m.)
Summarization Measures:
Assignment 1: download
Lecture 6 (28th September 2020; 6.30 p.m. to 7.30 p.m.)
Lecture 5 (27th September 2020; 6.30 p.m. to 7.30 p.m.)
Lecture 4 (26th September 2020; 6.30 p.m. to 7.30 p.m.)
Lecture 3 (25th September 2020; 6.30 p.m. to 7.30 p.m.)
Lecture 2 (24th September 2020; 630 p.m. to 7.30 p.m.)
Lecture 1 (23rd September 2020, 6.30 p.m. to 7.30 p.m.)
Owing to the Novel Covid 19 pandemic all exams stand postponed until further notice. All students are required to regularly visit the college and university website for further details and contact your teachers for clarification, if any required. Do not beleive and spread rumours.
eNotes: Binomial Distribution (6th February 2020)
Semester II Assignment
eNotes: Index Numbers
Click to download Assignment 2
Date of submission: July 30, 2019 (Tuesday)
Click to download Assignment 1