-------------------------------------------------------------------------------- 6 BASIC STATISTICAL TOOLS There are lies‚ damn lies‚ and statistics...... (Anon.) -------------------------------------------------------------------------------- 6.1 Introduction 6.2 Definitions 6.3 Basic Statistics 6.4 Statistical tests -------------------------------------------------------------------------------- 6.1 Introduction In the preceding chapters basic elements for the proper
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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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Flipping Houses - Four Strategies By William Cook Jan 6‚ 2011 Completely different traders have totally different concepts about flipping homes for a profit. Merely shopping for low cost and selling for more is the one of 4 strategies discussed below. It is the least more likely to work in at this time’s market (this is being written in 2009)‚ so we’ll get it out of the way first. 1. The Straight Buy and Sell The technique right here is to buy low and promote the home for more. Enhancements and
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5.0 Building Materials of S11 House (322) Based on Materials and Resources (MR) criteria as listed in Green Building Index (GBI) as one of the six key criteria to design a green building in Malaysia and also worldwide‚ this section promotes the use of eco-friendly materials sourced from sustainable sources and recycling. Implementation of proper construction waste management with storage‚ collection and re-use of recyclables and construction formwork and waste are emphasized here. Building materials
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“House of Quality”‚ the basic design tool of the management approach also known as Quality Function Deployment (QFD) originated in 1972 at Mitsubishi’s Kobe shipyard site. Previously it was only used by Hewlett-Packard‚ AT&T‚ Digital Equipment‚ ITT Ford and General Motors. Now a day‚ the Japanese manufacturers of consumer electronics‚ home appliances‚ clothing‚ integrated circuits‚ synthetic rubber‚ agricultural engines and designer of services like swimming schools and retail outlets and even for
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Suppose the obtained z was -2.5. Do you reject or fail to reject the null hypothesis? Our obtained z value of -2.5 is more extreme (in this case smaller) than our criterionz of -1.96. We reject the null hypothesis. • State in words what you have found. We have found that viewing the film DOES change students’ attitudes about mentally ill patients. In this case‚ scores were significantly lower for students who viewed the film‚ based on our z-test.
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Task1: Describe two basic types of inspection used in sampling for process control and explain two processes at your company that could benefits from each type of inspection. In you answer gives the example of variation expected from that process. Answer 1- There are two types of data inspection which are below: 1. Variable or continuous scale 2. Attribute or discrete scale 1. Variable or continuous data inspection: The variable data inspection is the type of inspection which varies
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An exclusive use clause is a valuable and often negotiated provision in leases. An “exclusive” prohibits a landlord from leasing space to another tenant that will operate a similar business or sell similar products. For example‚ a gym tenant may seek an exclusive to prevent the landlord from leasing space to other gyms‚ or a donut shop may seek an exclusive to prevent another tenant from selling baked goods for on or off premises consumption. Consider the following tips when negotiating an exclusive
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Use of Ranks in One-Criterion Variance Analysis Author(s): William H. Kruskal and W. Allen Wallis Source: Journal of the American Statistical Association‚ Vol. 47‚ No. 260 (Dec.‚ 1952)‚ pp. 583-621 Published by: Taylor & Francis‚ Ltd. on behalf of the American Statistical Association Stable URL: http://www.jstor.org/stable/2280779 Accessed: 05-03-2015 13:33 UTC Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use‚ available at http://www.jstor.org/page/info/about/policies/terms
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Contents Introduction to the Company 2 SWOT analysis 3 Strengths 3 Weakness 3 Opportunities 4 Threats 4 Industry Analysis 5 Overview 5 Industry Structure (Based On Product Offerings) 5 Five Forces Analysis 5 Competitive Rivalry (High) 5 Bargaining Power of Suppliers (Low) 6 Bargaining Power over Buyers (Medium) 6 Threat of Substitutes (High) 6 Entry of New Players (High) 6 Ratio Analysis 7 Profitability Ratios 7 Growth Ratios 7
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