BA 302 online: Instructions for Midterm, Fall 2015 Window period: Friday, October 16th, 2015, 8 a.m. – Monday October 19th, 11:59 p.m. (I have extended the window period by one day from originally scheduled) Time limit Six hours (you can take the Exam only at one stretch) The test will consist of 17 True/False type (4 points each), 16 Multiple/Choices (7 points each) and 8 Essay Type (15 points each) with a total of 300 points. The Chapters covered are 1, 2, 3, 5, 6, and 7. The topics to focus
Words: 1729 - Pages: 7
haphazardness are irrelevant. The fields of mathematics, probability, and statistics use formal definitions of randomness. In statistics, a random variable is an assignment of a numerical value to each possible outcome of an event space. This association facilitates the identification and the calculation of probabilities of the events. A random process is a sequence of random variables describing a process whose outcomes do not follow a deterministic pattern, but follow an evolution described by probability
Words: 831 - Pages: 4
The days to repair component was calculated by using the probability distribution of repair times given. This was used along with a set of random numbers based on 100 breakdowns a year. Then, a vlookup was used and the probability distribution per day to come up with the days to repair, which varies based on the random number that excel generates. The random number represents the probability of how many days it would take to repair the copier. TIME BETWEEN BREAKDOWNS The time between breakdowns
Words: 313 - Pages: 2
OPERATIONS RESEARCH Vol. 58, No. 3, May–June 2010, pp. 549–563 issn 0030-364X eissn 1526-5463 10 5803 0549 informs ® doi 10.1287/opre.1090.0780 © 2010 INFORMS A Stochastic Model for Order Book Dynamics Rama Cont Department of Industrial Engineering and Operations Research, Columbia University, New York, New York 10027, rama.cont@columbia.edu Sasha Stoikov Cornell Financial Engineering Manhattan, New York, New York 10004, sashastoikov@gmail.com Rishi Talreja Department of Industrial
Words: 11360 - Pages: 46
INFERENCE We often need to know something about a large population. Eg: What is the average number of hours per week devoted to online social networking for all US residents? It’s often infeasible to examine the entire population. Instead, choose a small random sample and use the methods of statistical inference to draw conclusions about the population. But how can any small sample be completely representative? We can’t act as if statistics based on small samples are exactly representative of the entire
Words: 1435 - Pages: 6
This report provides a complete picture of foreign languages in foreign countries of the European Union, combining statistical data and qualitative information describing the language skills of Europeans, the foreign languages known, first foreign language, second foreign language, other foreign languages, perception of foreign languages, opinions of parents, learning foreign languages and benefits. In addition, the report contains several charts useful to identify the correct language information
Words: 1071 - Pages: 5
Copies Case Problem Assignment #1 MAT540, Strayer University Assignment#1: JET Copies Case Problem According to the discrete distrubution, the number of days (y) needed to repair the copier is as follows (where “R2” is a random value in the excel sheet between and 0 and 1): 0 < R2 < .2, then it takes 1 day .2 < R2 < .65, then it takes 2 days .65 < R2 < .9, then it takes 3 days .9 < R2 < 1, then it takes 4 days James estimated that the time between break-downs
Words: 522 - Pages: 3
7.10.2015 г. 1 1. Experiment, Outcomes, and Sample space 2. Random Variables 3. Probability Distribution of a Discrete Random Variable 4. The Binomial Probability Distribution 5. The Hypergeometric Probability Distribution 6. The Poisson Probability Distribution 7. Continuous Random Variables 8. The Normal Distribution 9. The Normal Approximation to the Binomial Distribution 2 1 7.10.2015 г. An experiment is a process that, when performed, results in one and only one
Words: 4560 - Pages: 19
CHAPTER 9 RISK AND RETURN FOCUS Our initial focus is on defining risk in financial terms and understanding how that concept fits into portfolio theory. As we gain a more sophisticated understanding of risk, we're able to focus on the concept of beta and how to apply it through the SML. PEDAGOGY The study of Risk and Return presents the biggest pedagogical challenge in basic finance. Therefore motivating the study and developing ideas patiently is especially important.
Words: 9761 - Pages: 40
has been used in this real-life potential estimation exercise. It has been aimed at fit probable market-base for Quarter Mask Dust Respirators (QMDR), which is very popular in higl countries like South Africa, Indonesia, Malyasia, etc. The concept, in this case, is based on the real-life requirement for minirnising effects of polIt! is very relevant for fast driving two-wheeler drivers. The need of the driver is founded on the p lung-related diseases like asthma, coughs and colds, congestion are
Words: 586 - Pages: 3
