FIN 4414 – Financial Management – Spring 2009 “Arundel” Case Assignment Due: March 23‚ 2009 Case: “Arundel Partners: The Sequel Project‚” HBS‚ Case # 9-292-140‚ Revised 12/92. Main Question: Is $2million per movie a fair price? Why or why not? Additional Questions 1. Provide a brief overview of the proposed venture. Clearly describe the relevant time line. 2. Why do the proponents of this venture believe that Arundel Partners can make money buying movie sequel rights?
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Chapter 3 Statistical Summary This topic covers: The concept and measures of central tendency for ungrouped and grouped data. The concept and measures of dispersion for ungrouped and grouped data. Introduction When we look at a distribution of data‚ we should consider three characteristics: Shape (chapters 2 and 4) Center / Location (central tendency measurement) Spread (dispersion measurement) With these characteristics‚ we can numerically describe the main features of a data set
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Mean‚ Median‚ Mode‚ and Range Mean‚ median‚ and mode are three kinds of "averages". There are many "averages" in statistics‚ but these are‚ I think‚ the three most common‚ and are certainly the three you are most likely to encounter in your pre-statistics courses‚ if the topic comes up at all. The "mean" is the "average" you are used to‚ where you add up all the numbers and then divide by the number of numbers. The "median" is the "middle" value in the list of numbers. To find the median‚ your
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added-value compared to industry competitors? Make sure to quantify your claims. (In answering this question‚ you will find helpful information in exhibits 6-7k (but not only there)). a. Compare Samsung’s “value stick” to that of an “industry average” competitor and briefly justify any differences. (Remember that willingness-to-pay and willingness-to-supply are generally unobservable‚ but you can still engage in informed speculation.) b. Propose potential explanations for the higher WTP/P
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Office manager should not use the optimal order size instead of 200 boxes because it is 1.2 higher than with EOQ. So 200 boxes is acceptable. 1. b Given that‚ Expected demand during lead time= 300 units Sigma dlt=30 units I) ROP= Average demand during lead time+ safety stock = 300+ Zsigmadlt=300+2.33*30=369.9 II) Safety stock= Zsigmadlt=2.33*30=69.9 III) If 2% risk is require than Safety stock= 2.05*30=61.5 If risk 2% stock out is require than safety stock will
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DEPARTMENT OF MANAGEMENT INFORMATION SYSTEM (MIS) Masters of Business Administration (EMBA) Subject: Management Science (EMIS 517) Queuing Theory and The use of Queuing Theory of BFC Bangladesh” Supervised By : Md. Abdul Hannan Mia B. Com.(Hons)‚ M.com‚ PGD‚ MSc‚ MBA‚ FCMA‚ Ph.D. Prepared By: 1. Abdul Mannan Mian ID NO: 61428-21-044 Merit: 519 2. Mehedi Hasan
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Measuring Service Quality Using SERVQUAL Introduction Measuring the quality of a service can be a very difficult exercise. Unlike product where there are specific specifications such as length‚ depth‚ width‚ weight‚ colour etc. a service can have numerous intangible or qualitative specifications. In addition there is there expectation of the customer with regards the service‚ which can vary considerably based on a range of factors such as prior experience‚ personal needs and what other people
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measurements‚ as in a sample survey. In a designed experiment‚ researchers impose treatments and controls and then observe characteristics and take measurements. Data from a sample of citizens of a certain country yielded the following estimates of average TV viewing time per month for all the citizens. Answer: Inferential‚ because the statistics are used to make inference about the population. * 50 kids are divided into 2 groups. One is exposed to a vid on bullying. The other isn’t. After
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mm1 simulation in matlab clc;clear; ST_Idle=0; ST_Busy=1; EV_NULL=0; EV_Arrive=1; EV_Depart=2; EV_LEN=3; Q_LIMIT=1000000; % next_event _type=[]; % num_custs _delayed=[]; % num_delays _count=[]; % num_events=[]; % num_in _queue=[]; % server_status=[]; % area_num _in _queue=[]; % area_server _status=[]; % mean_interarrival=[]; % mean_service=[]; % clock=[]; % time_last _event=[]; % total_of _delays=[]; time_arrival=[]; time_next _event=zeros(1‚EV_LEN);
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Measures of central tendency are scores that represent the center of the distribution. Three of the most common measures of central tendency are: – • Mean Median Mode – – The Mean The mean is the arithmetic average of the scores. – Mean is the average of the scores in a distribution _ X = _________ i N Σ Xi Mean Example Exam Scores 75 91 82 78 72 94 68 88 89 75 ΣX =sum all scores n = total number of scores for the sample • Pros – – – Pros and cons of using mean
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