Project Proposal Statistical Learning and Data Mining Overview: Efficient asset allocation through statistical learning methods and comparison of methods for the creation of an index tracking ETF (Exchange traded fund) Datasets: The datasets are chosen from the website of the book “Statistics and Data Analysis for Financial Engineering” by David Ruppert. The book is mentioned as one of the references for this course. The two data sets chosen are 1. Stock_FX_Bond.csv 2. Stock_FX_Bond_2004_to_2006
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range and scope of data being collected today. We are barraged with statistics on sports results‚ economic indicators and politics: people are becoming familiar with scoring averages‚ inflation rates and voter satisfaction surveys. The advent of low-cost personal computers combined with the widespread availability of powerful computing software‚ such as Excel‚ means that many people have both large data sets and powerful tools with which to analyse them. In this report‚ a data set collected by the
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The Protein Data Bank Assignment: Glucansucrase After I came to America‚ I have already met my dentist many times. Although I brush my teeth three times a day‚ use floss correctly and meet dentist every year‚ I don’t know why my teeth keep in trouble and get cavities again and again. I really want to figure out why the bacteria from my mouth cannot be removed. When I am finding some protein‚ I found that Glucansucrase which is related on the issue of tooth decay. I think Glucansucrase
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Unit 1 Problem Set 1: Using Statistical Thinking and Summarizing Data 1. (Page 11 #26) – a. Yes b. Yes‚ because there is about a 1 chance in 1000 of getting the types of success rates generated through the study. c. Yes‚ because a 92% success rate is a much better result than a 72% success rate. d. Yes‚ after the study has been conducted numerous times to have validity. 2. (Page 17 #30) – a. The sample are the 1012 randomly surveyed adults. b. The population is that of all adults.
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Chapter 1 Statistics & Data I Applications in Business and Economics I Descriptive Statistics I Inferential Statistics Statistics Data overload! I need help! Slide 1 Applications in Business and Economics I I Accounting Public accounting firms use statistical sampling procedures when conducting audits for their clients. Economics Economists use statistical information in making forecasts about the future of the economy or some aspect of it. Statistics
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Background of CIMB CIMB Group is a universal bank headquartered in Kuala Lumpur‚ operating in high growth economies in ASEAN. An indigenous ASEAN investment bank‚ CIMB has a wide retail branch network with 1‚080 branches across the region. The group operates under several corporate entities‚ which include CIMB Investment Bank‚ CIMB Bank‚ CIMB Islamic‚ CIMB Niaga‚ CIMB Securities International and CIMB Thai. The group’s business activities are primarily in the areas of Consumer Banking‚ Wholesale
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from the University of Otago‚ New Zealand and is a qualified Chartered Accountant. Tan Sri Dato’ Md Nor has spent more than 18 years of his working career with the Group as a Director of CIMB Group and more notably as President and Chief Executive Officer of Bank of Commerce (M) Berhad (now known as CIMB Bank). Tan Sri Dato’ Md Nor completed his term as Executive Chairman of the Securities Commission on 31 March 2006. Prior to that‚ he was the Managing Director of Malaysian Airline System Berhad
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Statistical Techniques for Handling Missing Data Dr. John M. Cavendish 4 Part a1 Data were collected from 430 undergraduate college students for the purpose of examining the relationship between student personality characteristics and their preference for personality styles in their lecturers. Table 1 below presents a summary of the data collected. Of the 430 subjects for whom data was attempted‚ with 5 subjects providing no data‚ Of the 425 subjects included in data analysis‚ 307 were female
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Chapter 3 Summarizing Data 0.1 0.2 Introduction...........................................................................Error! Bookmark not defined. A Section Title .......................................................................Error! Bookmark not defined. Demonstration: ............................... Error! Bookmark not defined. Exercises ................................................................................... Error! Bookmark not defined. 0.3 0.4 Chapter Summary .
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chapter 1: STATS – STATISTICS DATA AND STATISTICAL THINKING 1.1 The science of statistics * Statistics - is the science of data. It involves collecting‚ classifying‚ summarising‚ organising‚ analysing‚ and interpreting numerical information. 1.2 types of statistical applications in business * Descriptive Statistics - describe collected data. Utilizes numerical and graphical methods to look for patterns in data‚ summarize the information in the data and to present the information in a
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