Home Quantitative Techniques – BBA-II

Quantitative Techniques – BBA-II

Lecture No.DescriptionWatch Videos
Lecture 1Statistics: Definition, Importance & LimitationLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 2Collection of data and formation of frequency distributionLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 3Graphic presentation of Frequency distribution – Graphics, Bars, HistogramLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 4Measure of central tendency – MeanLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 5Median, ModeLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 6Partition values – quartiles, deciles and percentilesLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 7Measures of variation – Range, IQRLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 8quartile, deciles and percentilesLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 9Mean Deviation, quartile deviationLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 10standard deviation, Lorenz CurveLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 11Measure of Variation – SkewnessLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 12Correlation Analysis: – ConceptLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 13Correlation CoefficientLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 14Assumptions of Correlation AnalysisLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 15Coefficients of Determination and CorrelationLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 16Measurement of Correlation- Karl Pearson’s MethodLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 17Spearman’s Rank CorrelationLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 18Concurrent Deviation the Correlation CoefficientLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 19Pitfalls and Limitations Associated with Regression Analysis-1Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 20Pitfalls and Limitations Associated with Correlation Analysis-2Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 21Real world Application using IT ToolsLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 22Linear Programming – Concept and Assumption.Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 23LP Problems: Maximization ProblemLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 24LP – Formulation, Usage In Business Decision Making.Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 25LP Problems: Minimization ProblemLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 26Linear Programming – Graphical and Simplex MethodLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 27Maximization ProblemLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 28Minimization Problem- Big – M MethodLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 29Phase II MethodLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 30Multiple Optimal Solutions, Infeasibility, UnboundednessLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 31DegeneracyLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 32Duality – Concept, Significance, UsageLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 33Duality Application in Business Decision Making.Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 34General Structure of Transportation ProblemLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 35Transportation Problem – Introduction and StructureLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 36NWC Method, LCM MethodLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 37Vogel’s MethodLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 38Stepping Stone MethodLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 39MODI MethodLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 40Degeneracy of Transportation MethodLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 41Assignment Problem: Different Methods OperationsLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 42Scheduling: – Scheduling ProblemsLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 43Shop Floor Control, Gantt ChartsLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 44Principles of Work Center SchedulingLecture by A,    Lecture by B,    Lecture by C,    Lecture by D
Lecture 45Principles of Job Shop Scheduling, Personnel Scheduling.Lecture by A,    Lecture by B,    Lecture by C,    Lecture by D
[whatsapp]