STUDIESTODAY.COM degree Polynomial Example (a) 1 Linear (b) 2 Quadratic etc. (c) 3 Cubic etc. (d) 4 Biquadratic Classification of polynomials on the basis of no. of terms No. of terms Polynomial & Examples. (i) 1 Monomial - (ii) 2 Binomial - (iii) 3 Trinomial- etc. etc. etc. Constant polynomial : A polynomial containing one term only‚ consisting a constant term is called a constant polynomial the degree of non-zero constant polynomial is zero. Zero polynomial : A polynomial
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Exam 3 Study Guide Math 219 1. The probability that a randomly selected patient who visits the emergency room will die within 1 year of the visit is 0.05. (binomial probability distribution) a) What is the probability that exactly 1 of 10 randomly selected visitors to the ER will die within 1 year? b) What is the probability that fewer than 2 of 25 randomly selected visitors to the ER will die within 1 year? c) What is the probability that at least 2 of 25 randomly selected
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FIN 819: Financial Management Administrative Issues Course Overview FIN 819: Lecture 1 Today’s plan l Administrative issues l Course overview l Team formation • prerequisite • add‚ drop and withdraw • projects • case writing and discussion • final exam • final grade FIN 819: Lecture 1 The instructor l l l l l My name is George Li Office: DTC 582 and BUS 315 Email: li123456@sfsu.edu Office hours: Monday: 1:30 p.m. to 3:30
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complex numbers by using our knowledge. I used de Moivre’s theorem and binomial expansion‚ to find out the specific pattern and make conjecture about it. I basically used property of binominal theory with the relationship between the length of the line segments and the roots. Part A To obtain the solutions to the equation ) | | Moivre’s theorem‚ (| | equation‚ we will get: ‚ I used de Moivre’s theorem. According to de . So if we apply this theorem in to the (| | ) ( (| | ) ) | |
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After choosing a topic randomly‚ students will have 5 minutes to prepare before presenting their explanation for 5 minutes. 1. State the definition of the limit and explain the requirements for a limit to exist. Also‚ explain the 3 main techniques to evaluate limits. (Keywords: limit‚ intend‚ left‚ right‚ general‚ notation‚ 3 requirements‚ NAG‚ table‚ diagrams‚ indeterminate form‚ conjugate‚ factoring‚ substitution) The limit of the function is the height that the function intends to reach
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Derivatives‚ Differentiation‚ Derivatives of Basic Elementary Functions‚ Differentiation Rules; Applications of Differentiation: l’Hôpital’s Rule‚ Optimization‚ Newton’s Method; Anti-derivatives; Indefinite Integrals‚ Definite Integrals‚ Fundamental Theorem of Calculus; Techniques of Integration; Improper Integrals; Applications of Integration‚ Differential equations. Examinations: There will be ONE in-class final exam. Assignments: Homework problems and quizzes will be assigned regularly. Make-up
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Yr12 Test Nov 2009. 1. Name:________________________ Let Sn be the sum of the first n terms of an arithmetic sequence‚ whose first three terms are u1‚ u2 and u3. It is known that S1 = 7‚ and S2 = 18. (a) (b) (c) Write down u1. Calculate the common difference of the sequence. Calculate u4. (Total 6 marks) 1 2. A theatre has 20 rows of seats. There are 15 seats in the first row‚ 17 seats in the second row‚ and each successive row of seats has two more seats in it than the previous
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Introduction This investigation which I carried out is closely related to statistics‚ where its main objective is to help us understand how a large amount of data is analysed and tabulated with the help of sampling and estimation‚ as well as its application in real life. In this investigation‚ we were instructed to analyse the census data tabulated from the respondents‚ where they input the data through a survey form available online. The respondents consist of students who are taking South Australian
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COURSE NOTES Financial Mathematics MTH3251 Modelling in Finance and Insurance ETC 3510. Lecturer: Prof. Fima Klebaner School of Mathematical Sciences Monash University Semester 1‚ 2012 Contents 1 Lecture 1. Introduction. 1.1 Prices of stocks as functions of time . . . . . . . . . . . . . . . . . . 1.2 Simulated functions of time that look like stock prices . . . . . . . . 1.3 Example of modelling using Random Variables . . . . . . . . . . . . 2 Lecture 2. Random variables. Revision. 2.1 Random
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1 Objectives of the Course • • • • To provide a formal quantitative approach to problem solving To give an intuition for managerial situations where a quantitative approach is appropriate To introduce some widely used quantitative models To introduce software for solving such models. 2 Must-Read Article Inventory • • • • “Decision trees”‚ Robin Greenwood (HBR‚ March 2006) “Note on Linear Programming”‚ Jonathan Eckstein (HBR‚ November 1992) “Sampling and Statistical Inference”‚ Arthur
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