father of “Modern Portfolio theory”‚ developed the mean-variance analysis‚ which focuses on creating portfolios of assets that minimizes the variance of returns i.e. risk‚ given a level of desired return‚ or maximizes the returns given a level of risk tolerance. This theory aids the process of portfolio construction by providing a quantitative take on it. It integrates the field of quantitative analysis with portfolio management. Mean variance analysis has found wide applications both inside and outside
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Neater interview notes (not in a chronological order‚ bits missing‚ please edit =D ) Gerry Rayner Secondary/Tertiary study -Found transition from secondary to tertiary education “abysmal”. Started BSc but dropped out after 1 year. -Worked in telecommunications for several years but got sick of it‚ returned to study Science as a mature aged student. -Completed BSc (honours) in early 1990’s as mature aged student. Had large time gap between completing Honours and PhD (in this gap he worked
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pains‚ and pains caused by arthritis and even hangover using Pandan (Pandanus Amryllifolius) | Central Problem | Sub-Problems | There will be no side effects or suspicios things/results that will occur when we do the experiment. | One-away analysis of variance (ANOVA) or F-test | | | This study aims to reduce pains or diseases in the Philippines through inventing a medicine or cure made out of pandan. It also aims to see the results of the tests and to know the different kinds of side effects
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Effectivity of Green Finger Pepper and Ethanol as an Alternative Insecticide A research project (to be) presented to the faculty of Cordillera Regional Science High School in partial fulfillment of the course Ib Cordillera Regional Science High School Wangal‚ La Trinidad‚ Benguet Bonnie B. Macay Danielle Dawayen Casserine Dumpilo Researchers Mrs. Xylene Grail Kinomis Research Adviser 2013 CHAPTER I INTRODUCTION Background of the Study Black ants are one of the common insects
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Mancenido‚ Michelle (Adviser) ABSTRACT ------------------------------------------------- This study compares the absorbency of two different cotton brands‚ Cleene and SM Bonus. The two brands are chosen based on the price differences‚ and analysis has been conducted to show if significant differences on the absorbency exist between these brands to justify the large price difference‚ P27.50. The cotton brands are subjected to two types of liquid: water and astringent‚ where one gram of cotton
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SPSS Basics for One-way ANOVA As an illustration of the process‚ consider the data given in Example 11-8‚ pp. 593 – 595‚ of Bluman’s Elementary Statistics: A Brief Version. Problem Statement: A researcher wishes to try three different techniques to lower the blood pressure of individuals diagnosed with high blood pressure. The subjects are randomly assigned to three groups; the first group takes medication‚ the second group exercises‚ and the third group follows a special diet. After four weeks
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estimation‚ review testing procedures and increase channels for effective communication. I should have set up a two-way ANOVA with a schedule variance as factor A and number of defects as factor B which I then would have been able to conclude that there was a difference in the means due to a schedule variance‚ number of defects‚ and the interaction of schedule variance and number of defects. With ANOVA‚ you have a more flexible as well as a more powerful technique that can be applied to more complex research
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CHART FOR STATISTICAL ANALYSIS ANOVA One-way Analysis of Variance (ANOVA) is used with one categorical independent variable and one continuous variable. The independent variable can consist of any number of groups (levels). A statistical technique by which we can test if three or more means are equal. It tests if the value of a single variable differs significantly among three or more levels of a factor. Example: Problem: Susan Sound predicts that students will learn most effectively with a constant
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BM0421 Business Research Analysis Student Name: Qiumi Lv Student Number: W14006495 Word Count: 3112 Contents 1. Part 1 (a)………………………………………………………………….........….…...2 2. Part 1 (b)…………………………………………………………………………..…....2 3. Part 1 (c)………………………………………………………………………………...3 1. The Research Method and Questionnaire………………………………..….....3 2. The design decisions……………………………………………………………...3 4. Part 2……………………………………………….……………………………….......5 1. (i)..………………………………………………………………………….….....….5 2. (ii).…………………………………………………………………………
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18 2 Reliability 22 3 Exploratory factor analysis 24 4
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