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Here I am looking for the JNTU Previous Years Question Paper of B.Tech in Electronics and Communication Engineering-2nd Year Probability Theory and Stochastic Process Exam, can you please provide me the same?? As you are looking for the JNTU Previous Years Question Paper of B.Tech in Electronics and Communication Engineering-2nd Year Probability Theory and Stochastic Process Exam so here I am sharing the same with you With an example define and explain the following: i. Equality likely events ii. Exhaustive events. iii. Mutually exclusive events. In an experiment of picking up a resistor with same likelihood of being picked up for the events; A as “draw a 47 resistor”, B as “draw a resistor with5% tolerance” and C as “draw a 100 resistor” from a box containing 100 resistors having resistance and tolerance as shown below. Determine joint probabilities and conditional probabilities. What is binomial density function? Find the equation for binomial distrbution function. What do you mean by continuous and discrete random variable? Discuss the condition for a function to be a random variable. [6+10] Define moment generating function. State properties of moment generating function. Find the moment generating function about origin of the Poisson distribution. ![]() ![]() Address: Jawaharlal Nehru Technological University Kukatpally Housing Board Colony, Kukatpally, Hyderabad, Andhra Pradesh 500085 Map: Last edited by Aakashd; June 7th, 2019 at 03:36 PM. |
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Hello dear, As you want to know about the important question for the probability and stochastic process for the 2 year JNTU here I am providing for the same Q.Define and explain the following with an example: i. Equally likely events ii. Exhaustive events iii. Mutually exclusive events Q Give the classical definition of probability. Q Find the probability of three half-rupee coins falling all heads up when tossed simultaneously Q What is poisson random variable? Explain in brief. Q What is binomial density and distrbution function? Q Assume automobile arrives at a gasoline station are poisson and occur at an average rate of 50/hr. The station has only one gasoline pump. If all cars are assumed to require one minute to obtain fuel. What is the probability that a waiting line will occur at the pump? Q Define probability based on set theory and fundamental axioms. Q When two dice are thrown, find the probability of getting the sums of 10 or11. Q Define cumulative probability distribution function. And discuss distribution function specific properties. Q The random variable X has the discrete variable in the set {−1, −0.5, 0.7, 1.5, 3} the corresponding probabilities are assumed to be {0.1, 0.2, 0.1, 0.4, 0.2}. plot its distribution function and state is it a discrete or continuous ditribution function. Q Explain the concept of a transformation of a random variable X Q A Gaussian random variable X having a mean value of zero and variance one istransformed to an another random variable Y by a square law transformation.Find the density function of Y Q What is binomial density function? Find the equation for binomial distribution function. Q What do you mean by continuous and discrete random variable? Discuss the condition for a function to be a random variable. Probability and stochastic process JNTU BTech ECE 2nd YEAR ![]() ![]()
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