Calebmusau

CONTENTS: Basic mathematical techniques Hypothesis testing and estimation Correlation and regression analysis Time series Linear programming Decision theory Game theory Network planning and analysis Queuing theory

These notes are well detailed and include illustrations to help you understand. It includes questions and answers to assist in your revision. CONTENT: - Definition of time series - Components of time series (circular, seasonal, cyclical, irregular/ random, trend) - Application of time series - Methods of fitting trend: free hand, semi-averages, moving averages, least squares methods - Models- additive and multiplicative models - Measurement of seasonal variation using additive and multipl...

These notes are well detailed and include illustrations to help you understand. It includes questions and answers to assist in your revision. CONTENTS: - Types of simulation - Variables in a simulation model - Construction of a simulation model - Monte Carlo simulation - Random numbers selection - Simple queuing simulation: Single server, single channel "first come first served" (FCFS) model - Application of simulation models

These notes are well detailed and include illustrations to help you understand. It includes questions and answers to assist in your revision. CONTENT: - Components/elements of a queue: arrival rate, service rate, departure, customer behaviour, service discipline,' finite and infinite queues, traffic intensity - Elementary single server queuing systems - Finite capacity queuing systems - Multiple server queues

These notes are well detailed and include illustrations to help you understand. It includes questions and answers to assist in your revision. CONTENTS: - Basic concepts - network, activity, event - Activity sequencing and network diagram - Critical path analysis (CPA) - Float and its importance - Crashing of activity/project completion time - Project evaluation and review technique (PERT) - Resource scheduling (levelling) and Gantt charts - Limitations and advantages of CPA and PERT

These notes are well detailed and include illustrations to help you understand. It includes questions and answers to assist in your revision. CONTENTS: - Definition of decision variables, objective function and constraints - Assumptions of linear programming - Solving linear programming using graphical method - Solving linear programming using simplex method - Sensitivity analysis and economic meaning of shadow prices in business situations - Interpretation of computer assisted solutions ...

These notes are well detailed and include illustrations to help you understand. It includes questions and answers to assist in your revision. CLASSNOTES: - Hypothesis tests on the mean (when population standard deviation is unknown) - Hypothesis tests on proportions - Hypothesis tests on the difference between means (independent samples) - Hypothesis tests on the difference between means (matched pairs) - Hypothesis tests on the difference between two proportions

These notes are well detailed and include illustrations to help you understand. It includes questions and answers to assist in your revision. CONTENT: - Assumptions of game theory - Zero sum games - Pure strategy games (saddle point) - Mixed strategy games (joint probability approach) - Dominance, graphical reduction of a game - Value of the game. - Non zero sum games - Limitations of game theory

These notes are well detailed and include illustrations to help you understand. It includes questions and answers to assist in your revision. CONTENT: Correlation analysis • Scatter diagrams • Measures of correlation -product moment and rank correlation coefficients (Pearson and Spearman) Regression analysis • Assumptions of linear regression analysis • Coefficient of determination, standard error of the estimate, standard error of the slope, t and F statistics • Computer outpu...

These notes are well detailed and include illustrations to help you understand. It includes questions and answers to assist in your revision. CONTENTS: - Decision process - Decision making environment - deterministic situation (certainty), analytical hierarchical approach (AHA), risk and uncertainty, stochastic situations (risk), situations of uncertainty - Decision making under uncertainty - maximin, maximax, minimax regret, Hurwicz decision rule, Laplace decision rule - Decision making un...