Commercial Statistics 1

• Commercial Statistics 1 eBook. Download

• 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 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.)

• 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.)