Very Random

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    Busniess

    used in a simple random sample. Surveys were done of the general population of the US and they hardly ever use simple random samples because chances are everyone will ne inclusion. Weights are variables that determine how much each respondent counts. Distributions In this table you will find the gender, age department, position, tenure with company, extrinsic or extrinsic. Below you can see my findings and the probability that I have came up with. This information will be very helpful. It breaks

    Words: 510 - Pages: 3

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    Jets Copies

    gather data from the college which allowed them to develop a table for the probability distribution of the wait for repair services on JET’s copier. To model the probability of wait times in the JET Copies simulation, the JET partners generated a random number representing the probability of an occurrence of a breakdown. They then programmed a VLOOKUP function to match this breakdown probability to the corresponding “Repair Time in Days” column of the table. The result is the simulated time to

    Words: 862 - Pages: 4

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    Quantitative Methods in Management

    Quantitative Methods in Management Q M M   Session One Asato ma sat gamaya, tamaso ma jyotir gamaya, mrityo ma amritam gamaya ‘Lead me from the superficial to the worthy, from darkness to light and from stagnation to zestful living’ Brahadaranyaka Upanishad (1,3,28) [pic]M C Escher http://www.theorsociety.com/Science_of_Better/htdocs/prospect/index.asp What is Operational Research? The discipline

    Words: 1401 - Pages: 6

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    Quant Investments Probability

    future of the four of you was discussed and a decision was taken to release one of you. I can’t tell you who - the Chairman is writing to you all immediately. However, I can say that we were unable to make the decision on merit, so we made it at random. The Chairman took one of four cards, each of which had one of your names on the back!” “So, I have a one in four chance of being out of work after Christmas”, said Alain. He felt relieved, as he had thought the odds might be worse. “But of course

    Words: 1075 - Pages: 5

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    Finance

    Lecture 3 Supplement Annoying Proof of a Useful Result Proof1 that E(ea+bx̃) = ea+b+½Var(x̃) I. The Normal Distribution The probability density function of a normal distribution is 1 2 v 1 y     e 2 v  2 which has the property, for any y and v, that    1 2 v 1 y     e 2 v  2 dy  1 II. Fun with Completing the Square! Now suppose a  b~ is distributed N a  b , b 2 2 . x   Let’s find the because a  bx  a  b  bx    expected

    Words: 464 - Pages: 2

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    Jey Copies

    For this data, a probability distribution table was developed and programmed into excel. Once the probability table is loaded into excel, they are averaged into a random number range that generates numbers from 0.00 to 1.0. The system then generated an average number days it would take to repair the machine base to the random number generated. 2. Write a brief description of how you implemented the intervals between break downs. When the company looked at the number of intervals between

    Words: 633 - Pages: 3

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    Bsop Week 7 Lab

    Week 7 Lab Step 1: Number of Trucks in Queue | | Question 1: For each of the four work team sizes, calculate the expected number of trucks waiting in the queue to be unloaded. Size of team | Number of trucks in queue | 2 | 3.2 | 3 | .5 | 4 | .27 | 5 | .12 | Step 2: Expected Time in Queue | | Question 2: For each of the four work team sizes, calculate the expected time in the queue; that is, the expected time that a truck has to wait in line to be unloaded. Size of team |

    Words: 289 - Pages: 2

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    Oil Case

    distribution, with any value being equally likely in the interval 20-90 bbl./acre-ft, represented by RISKUNIFORM(20,90). @Risk offers the above functions, together with the ability of performing repeated calculations for different realizations for the random variables. We will first build a spreadsheet model, to calculate the

    Words: 793 - Pages: 4

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    Statistic

    between 0 and 1. can be any value between 0 and 0.70. cannot be larger than 0.30. None of the above statements are true. If A and B are independent events with P(A) = 0.20 and P(B) = 0.60, then P(A|B) is 0.2000 In the notation below, X is the random variable, c is a constant, and V refers to the variance. Which of the following laws of variance is not correct? V(c) = 0 V(X + c) = V(X) V(X + c) = V(X) + c V(cX) = c2 V(X) Which of the following statements is always correct? P(A and

    Words: 549 - Pages: 3

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    Mat540 Jet Copies

    Introduction This paper will answer the question whether or not JET Copies, a new copier company established by three friends, should purchase a smaller copier as a backup for the primary copier when the primary copier is not in service. The owners of the company have purchased a primary copier similar to the one in the dean’s school of business. During making their decision to purchase, the owners received positive information from the seller regarding the copier reliability. The price of the primary

    Words: 674 - Pages: 3

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