SYSTEM SIMULATION AND MODELLING 06CS82 UNIT - 1 INTRODUCTION June 2012 1. List any three situations when simulation tool is appropriate and not appropriate tool. 6 M b. Define the following terms used in simulation i)discrete system ii)continuous system iii) stochastic system iv)deterministic system v)entity vi)Attribute 6M c. Draw the flowchart of steps involved in simulation study. 8M June 2010 1a) What is simulation? Explain with flow chart‚ the steps involved in simulation
Premium Random variable Probability theory Poisson distribution
THE UNIVERSITY OF HONG KONG DEPARTMENT OF STATISTICS AND ACTUARIAL SCIENCE STAT2801 Life Contingencies LN1: Chapter 3 (Actuarial Mathematics): Survival distributions Age-at-death random variable T0 – age-at-death (lifetime for newborn) random variable To completely determine the distribution of T0 ‚ we may use (for t ≥ 0)‚ (1) (cumulative) distribution function: F0 (t) = Pr(T0 ≤ t) (2) survival function: s0 (t) = 1 − F0 (t) = Pr(T0 > t) (3) probability density function: f0 (t) = F0 (t) =
Premium Probability theory Random variable Cumulative distribution function
categorical random variable. b) a discrete random variable. c) a continuous random variable. d) a statistic. B 4. Researchers are concerned that the weight of the average American school child is increasing implying‚ among other things‚ that children’s clothing should be manufactured and marketed in larger sizes. If X is the weight of school children sampled in a nationwide study‚ then X is an example of a) a categorical random variable. b) a discrete random variable. c) a continuous random variable
Premium Bar chart Random variable Probability theory
1. A gambler in Las Vegas is cutting a deck of cards for $1‚000. What is the probability that the card for the gambler will be the following? a. A face card – there are 12 face cards in a deck of 52 cards. The probability would be 12/52 b. A queen – there are 4 queens in a deck‚ so the probability would be 4/52 c. A Spade - There are 13 cards of each suit so the probability is 13/52 or ¼. d. A jack of spades - There is only 1 jack of spades in a deck‚ so the probability would be 1/52
Premium Playing card Random variable Probability theory
buffer is determined such that the probability of running out of stock during lead time (the period between placing and receiving an order) does not exceed a prespecified value. Let L = Lead time between placing and receiving an order [pic] = Random variable representing demand during lead time [pic] = Average demand during lead time [pic]= Standard deviation of demand during lead time B = Buffer stock size a = Maximum allowable probability of running out of stock during lead time The main assumption
Premium Random variable Probability theory Operations research
EEMT 5510 Homework #5 12-24. An improved design of a computerized piece of continuous quality measuring equipment used to control the thickness of rolled sheet products is being developed. It is estimated to sell for $125‚000 more than the current design. Based on present test data‚ however‚ the typical user has the following probabilities of achieving different performance results and cost savings (relative to the current unit) in the first year of operation (assume these annual cost savings
Premium Normal distribution Decision theory Probability theory
Information Systems Success: The Quest for Dependent Variable By William H. DeLone and Ephraim R. McLean Dependent variables are needed to be well defined in the IS success examination. Prior research more concerns on independent variables than the dependent variable. Instead‚ this article focuses on the measurement of the dependent variable. Shannon and Weaver (1949) and Mason (1978) yield six distinct categories or aspects of information systems success‚ which are system quality‚ information
Premium Variable Empiricism Measurement
EE 351K Probability‚ Statistics‚ and Random Processes Instructor: S.Vishwanath Homework 9 Solution FALL 2012 sriram@ece.utexas.edu Problem 1 A fair coin is tossed 100 times. Estimate the probability that the number of heads lies between 40 and 60 using central limit theorem(the word between in mathematics means inclusive of the endpoints). Solution: The expected number of heads is 100 1 = 50‚ and the variance for the number of heads is 2 11 100 2 2 = 25. Thus‚ since n = 100 is reasonably large
Premium Probability theory Random variable Variance
Department of Decision Sciences Rational Decision Making Only study guide for DSC2602 University of South Africa Pretoria c 2010 University of South Africa All rights reserved. Printed and published by the University of South Africa‚ Muckleneuk‚ Pretoria. DSC2602/1/2011 Cover: Eastern Transvaal‚ Lowveld (1928) J. H. Pierneef J. H. Pierneef is one of South Africa’s best known artists. Permission for the use of this work was kindly granted by the Schweickerdt family. The
Premium Random variable Arithmetic mean Probability theory
|262 |82 |8 |352 | |Total |272 |96 |32 |400 | What is the probability that a consumer selected at random purchased fewer products than before? 0.6800
Premium Flavor Probability theory Standard deviation