Random Process Question & Answers December 13, 2022 By WatElectronics This article lists 25 Random Process MCQs for engineering students. All the Random Process Questions & Answers given below include a hint and a link wherever possible to the relevant topic. This is helpful for users who are preparing for their exams, interviews, or professionals who would like to brush up on the fundamentals of the Random Process. In digital communication, the random process is a function of discrete and continuous random variables and discrete and continuous time. A general stochastic or random variable is observed at different times and collections of time functions corresponding to various outcomes of random experiments. The channel noise interference information generated by a source, daily stream flow, hourly rainfall of storm events, and stock index, are examples of random processes. Another name for a random process is the stochastic model. In a stochastic model, variables depend on time and probability, and the process could have two sources of variability (demographic and environmental). The stochastic or random process captures variations from mean behavior. The stochasticity can excite the system to sustained oscillations or can drive strategy to extinction and is often harder to analyze mathematically. The Quasi-stationary distribution comes under persistence, time to extinction. The stochastic and where resonance comes under oscillatory behavior, stochastic simulation algorithm and agent-based simulations come under computational approaches analysis of the random or stochastic process. The persistence, extinction, oscillatory behavior, and computational approaches are the analysis of the stochastic process. 1). The random process is categorized into _________________ types? One Two Three Four Hint 2). The ergodic comes under ___________________ type random process? Stationary Non-stationary Both a and b None of the above Hint 3). The random process is a function of ___________________ random variables? Discrete Continuous Both a and b None of the above Hint 4). Which one of the following is an example of random process in communication? Channel noise Interference Both a and b None of the above Hint 5). The quasi-stationary distribution comes under ____________________ analysis of stochastic process? Persistence Extinction Oscillatory behaviour Computational approaches Hint 6). What is the standard form of WSSRP? Wide Sense Stationary Random Points Wide Sense Stationary Random Particles Wide Sense Stationary Random Process None of the above Hint 7). Which one of the following is constant in wide sense stationary? Auto correlation Mean All statistics Both a and b Hint 8). In which one of the following, all statistics are constant over time? Wide sense stationary Strictly stationary Both a and b None of the above Hint 9). The wind velocity is an example of __________________ random process? Continuous Discrete Both a and b None of the above Hint 10). The random process is a function of __________________? Time Random variables Both a and b None of the above Hint Random Process MCQ for Exams 11). What is the standard form of SSSRP? Strict Sense Stationary Random Points Strict Sense Stationary Random Particles Strict Sense Stationary Random Process None of the above Hint 12). The ADC outputs is an example of __________________ random process? Continuous Discrete Both a and b None of the above Hint 13). The half wave or full wave rectifiers is an example of _________________ random process? Continuous Discrete Mixed None of the above Hint 14). The random walk is an example of __________________ process? Non-deterministic Deterministic Both a and b None of the above Hint 15). The wind velocity (varies significantly from day to day) is an example of ________________ random process? Stationary Non-stationary Both a and b None of the above Hint 16). Which one of the following is a function of time always? Random process Random variable Both a and b None of the above Hint 17). Which one of the following has one or more random variables? Deterministic Stochastic Both a and b None of the above Hint 18). Which one of the following models captures variations from mean behaviour? Deterministic Stochastic Both a and b None of the above Hint 19). The radio station carrier frequency and phase values at a location is an example of _______________ process? Non-deterministic Deterministic Both a and b None of the above Hint 20). Which one of the following processes consists of both discrete and continuous components? Discrete random Continuous random Mixed random None of the above Hint Read more about Full Wave Rectifiers Random Process MCQ for Quiz 21). Which one of the following models needs many simulations? Deterministic Stochastic Both a and b None of the above Hint 22). In which one of the following models, the variables are functions of time only? Deterministic model Stochastic model Both a and b None of the above Hint 23). Which one of the following models is non-probabilistic model? Deterministic model Stochastic model Both a and b None of the above Hint 24). In which one of the following optimization, the execution time may be very long for medium/big scale problems? Deterministic optimization Stochastic optimization Both a and b None of the above Hint 25). Which one of the following are comes under random search methods? Enumerative methods Two phase methods Branch and bound methods None of the above Hint Please fill in the comment box below. Time is Up! Time's up