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The queueing process — also known as queueing theory or waiting line theory — is a core topic in statistics, operations research, probability, and stochastic processes. This video explains the queueing process comprehensively, with practical real-life examples (banks, hospitals, call centers, traffic) and detailed mathematical derivations, focusing especially on the classic M/M/1 queueing model. Presented by Ebrahim Khan, Department of Statistics and Data Science, BU, and drawn from university-level coursework in Stochastic Processes under the guidance of Ahsanul Haque, Assistant Professor in the Department of Statistics and Data Science, BU. Key topics: Characteristics of queueing systems and Kendall's notation M/M/1 model: Poisson arrivals, exponential service, single server, FCFS Steady-state measures: ρ, P₀, L, Lq, W, Wq Ideal for students preparing for statistics, operations research, or stochastic processes examinations. Subscribe to Morning Statistics for more tutorials on probability, statistics, and stochastic modeling. Likes and comments welcome! #QueueingTheory #MM1Queue #QueuingProcess #StochasticProcesses #OperationsResearch #Statistics #MM1Model #UniversityLecture