BA 578 Assignment-Sol- due by Midnight (11:59pm) Monday‚ Sept 15th‚ 2014(Chapters 1‚ 2‚ 3 and 4): Total 75 points True/False (One point each) Chapter 11. An example of a quantitative variable is the telephone number of an individual. FALSE 2. An example of a interval scale variable is the make of a car. FALSE 3. Credit score is an example of an interval scale variable. TRUE There is no intrinsic Zero. An arbitrary minimum is established. Therefore‚ it is an interval scale variable. 4. The number
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In her poem “Unfinished Love Theorem” published in 2001‚ author Kate Camp writes about the concept of love by comparing it first to ocean waves and then lines‚ to help describe the speaker’s feelings and understanding towards it. On the surface‚ the poem seems very simple- it is just describing a single idea‚ but when analysing it we can see that Camp is trying to emphasize that love changes and is never simple; it is full of turbulences and instability. There is a lot more to love than meets the
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Forecasting demand and inventory management using Bayesian time series T.A. Spedding University of Greenwich‚ Chatham Maritime‚ Kent‚ UK K.K. Chan Nanyang Technological University‚ Singapore Batch production‚ Demand‚ Forecasting‚ Inventory management‚ Bayesian statistics‚ Time series Keywords Introduction A typical scenario in a manufacturing company in Singapore is one in which all the strategic decisions‚ including forecasting of future demand‚ are provided by an overseas office. The
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1.INTRODUCTION: The mathematician Diophantus of Alexandria around 250A.D. started some kind of research on some equations involving more than one variables which would take only integer values.These equations are famously known as “DIOPHANTINE EQUATION”‚named due to Diophantus.The simplest type of Diophantine equations that we shall consider is the Linear Diophantine equations in two variables: ax+by=c‚ where a‚b‚c are integers and a‚b are not both zero. We also have many kinds of Diophantine
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Lecture Notes for Analog Electronics Raymond E. Frey Physics Department University of Oregon Eugene‚ OR 97403‚ USA rayfrey@cosmic.uoregon.edu December‚ 1999 Class Notes 1 1 Basic Principles In electromagnetism‚ voltage is a unit of either electrical potential or EMF. In electronics‚ including the text‚ the term “voltage” refers to the physical quantity of either potential or EMF. Note that we will use SI units‚ as does the text. As usual‚ the sign convention for current I
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Basic Probability Notes Probability— the relative frequency or likelihood that a specific event will occur. If the event is A‚ then the probability that A will occur is denoted P(A). Example: Flip a coin. What is the probability of heads? This is denoted P(heads). Properties of Probability 1. The probability of an event E always lies in the range of 0 to 1; i.e.‚ 0 ≤ P( E ) ≤ 1. Impossible event—an event that absolutely cannot occur; probability is zero. Example: Suppose you roll a normal die
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Week 7 Homework Assignment Chapter 7 Circuit Analysis Techniques 15. Derive the Thevenin equivalent of the circuit shown in Figure 7.47a. Req= (R1+R2)//(R3+R4)= 5.2k//1.5k= 1164 x 10^3= 1.2kΩ Rth= Req+R5= 1.2kΩ+1kΩ= 2200 x 10^3= 2.2kΩ Vth= Vs= 9V 16. Derive the Thevenin equivalent of the circuit shown in Figure 7.47b. Req= R1+R2= 22+33= 55Ω Vth= Vs x R3/Req+R3+R4= 12V x 120Ω/55+120+51 = 6.37V Rth= (R1+R2)//(R3+R4)= (22+33)//(120Ω+51Ω)= 41.6Ω 17. Derive the Thevenin equivalent of the circuit shown
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Machine Learning Journal (2003) 53:23-69 Theoretical and Empirical Analysis of ReliefF and RReliefF ˇ Marko Robnik-Sikonja (marko.robnik@fri.uni-lj.si) Igor Kononenko (igor.kononenko@fri.uni-lj.si) University of Ljubljana‚ Faculty of Computer and Information Science‚ Trˇ aˇka 25‚ z s 1001 Ljubljana‚ Slovenia tel.: + 386 1 4768386 fax: + 386 1 4264647 Abstract. Relief algorithms are general and successful attribute estimators. They are able to detect conditional dependencies between attributes
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1 (a) Show that = tan θ. (b) Hence find the value of cot in the form a + ‚ where a‚ b . 2 If x satisfies the equation ‚ show that 11 tan x = a + b‚ where a‚ b +. 3 The graph below shows y = a cos (bx) + c. Find the value of a‚ the value of b and the value of c. 4 The diagram below shows two concentric circles with centre O and radii 2 cm and
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C2 differentiation Maximum points‚ minimum points and points of inflection All 3 types of point are easy enough to spot on a graph: • Maximum points are the tops of ‘peaks’ • Minimum points are bottoms of ‘troughs’ • Points of inflection are where a curve stops turning ‘left’ and starts turning ‘right’ (or vice versa). An example is the point (0‚1) on the curve [pic]+1 Notes (i) Any point on a curve where the gradient is zero can be
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