The aim of this paper is to analyze the performance of a mutual fund by applying statistical tools and secondary research on the previous ten years’ annual returns of the fund and coming up with a conclusion based on the results of the findings. Analysis of the previous ten years’ annual returns will be used to analyze the risk and return of the mutual fund and propose suitable conclusions pertaining to future investments in the mutual funds. The mutual fund under consideration has not displayed
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BUS 304‚ DATA ANALYSIS College of Business Administration Spring 2015 TTh: 10:00-11:50‚ MH 307 Instructor: Prof. Sheldon Lou‚ MH 443 Office Phone: 750-4272 Office Hours: Tuesday 9:30-10:00 or by appointment e-mail: lou@csusm.edu ________________________________________________________________________ 1. Course Objectives The objective of the course is to assist future managers in planning‚ executing and evaluating their business. Upon course completion‚ the student will
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Assignment #2 EC1204 Economic Data Collection and Analysis Student No. 110393693 Part 1: Question 2 From analysing the Data on the Scatter Plot the relationship between the GDP and the Population of Great Britain from 1999-2009 appears to be a moderate positive correlation relationship. Both variables are increasing at a similar rate and following a similar pattern which would indicate this relationship. This relationship would tend to be a positive one as more people are available to the
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physically training – single or multiple sets. We all have friends who spend at least three hours in the gym and others‚ who only spend about thirty minutes to an hour. Is it safe to argue the person in the gym for three hours is doing multiple sets‚ while the person in the gym for an hour is only doing a single set? Probably not because no one knows how many exercises the athlete is actually doing. The real discussion comes down to single or multiple sets‚ which is the better of the two for optimal
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discover the suitable ways of organizing experimental data in the form of tables and graphs by proficiently using Microsoft Excel. After being provided with a set of experimental data‚ a graph is then created. The graph contains useful information such as the slope‚ which could give the density value. The calculation of significant figures was one of the key objectives in this lab as well. Significant figures are essential to interpreting data because they allow for increased precision and accuracy
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The Process “It’s a round ball and bat‚ and you have to hit it square”(Pete Rose). Hitting‚ much like everything else in baseball‚ is a difficult challenge that most succeed at three times out of every ten at bats. Hitting a ball that is moving at a rate of 85-90 mph is no easy task‚ especially when is swerving‚ dropping‚ or spinning. Baseball is a game that exploits the limits of the mind and physical abilities all in under a second. It is up to the hitter in that brief moment to act upon the instinct
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Online Video Streaming segment by leveraging on its big data technology? BACKGROUND: • Started in the year 1997 by Marc Randolph and Reed Hastings • Netflix had invested highly on Big data analysis • Netflix used this as a disruptive technology in order to understand and analyse the customers • The company made use of Big data to recommend movies and TV shows which were suitable for its subscribers • .Hence‚ Netflix had access to tons of data of its customer preferences because of which the company
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Alternative “C” Economic Analysis * Contains: 1. Tangible Benefits Worksheet 2. One Time Cost Worksheet 3. Recurring Cost Worksheet 4. Discount rates * Used to create Cost/Benefit Analysis Spreadsheets for possible alternative solutions. Cost/Benefit Analysis spreadsheet is located in doc sharing. * Description of Alternative C – Nova Corporation. (see page 151 in the book) 1. Industry Leader in CRM solutions 2. Large and complex 3. Pricing only based on
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Dealing with Data: Using NVivo in the Qualitative Data Analysis Process The decision to use computer software programs for qualitative data analysis is essentially up to the person analyzing the data. There are positives and negatives when using these software programs to analyze data. A researcher in London wanted to find out if using the software package NVivo would be helpful in her data analysis process. The purpose of the study was to consider the difficulties surrounding interrogation
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heart rate and blood pressure under different conditions. In Figure 1‚ the blood pressure data of an individual female in very good condition is shown under the effect of posture. Figure 2 shows the blood pressure data of the same well-trained female under the effect of exercise. The individual data in both figures 1 and 2 fell outside the standard error of the mean for the class. Figure 3 shows the class data (N=335±3) for blood pressure under the condition of exercise. The effects of gender‚ weight
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