2 1.1 create a plan for the collection of primary and secondary data for a given business problem 2 1.2 present the survey methodology and sampling frame used 4 1.3 design a questionnaire for a given business problem 6 2.1 create information for decision making by summarising data using representative values 7 2.2 analyse the data to draw valid conclusions in a business context 10 2.3 analyse data using measures of dispersion to inform a given business scenario
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THE LANGUAGE USE : STYLE AND LINGISTIC ETIQUTTE (NETIQUETTE) IN KASKUS FORUM By : MUNAWIRUL HADI/ PBI VIIB/09321181 CHAPTER I INTRODUCTION A. BACKGROUND OF THE STUDY Computer-mediated communication refers to any form of communication enabled through the use of computers. In the computer-mediated communication literature‚ the term generally refers to communication modalities dependent on computer-based networks or meta-networks‚ particularly the Internet and commercial online services
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Classification Algorithms For classification task‚ in this module‚ we used the four classification algorithms of Support Vector Machine‚ Decision Tree‚ Naïve Bayes and Logistic Regression provided in ODM[107]. As discussed earlier that it is used for data mining tasks in a number of existing research works[108-110]. Maximum Description Length (MDL) algorithm has been applied for attribute importance and all the proposed features show positive results. 5.5.2 Dataset The choice of proper dataset is significant
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Index Cover Page 1 1. Executive Summary 3 2. Background 3 3. Issue Statement 4 4. Analysis of the problem 4-9 1. Moving Average 4-6 2. Holt Winters’ Exponential Smothing 6-7 3. Simple Average 7 3. Exponential Smothing 8-9 5. Recommandations 10 6. References 11 Executive Summary In the given case study‚ Snow the revenue manager of the Hamilton hotel has to make a decision which is to accept the group of not for 22nd August. As it is a business hotel and generally it
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examine these causes and effects to decrease the gap between developed countries and developing countries and to make people in the world fairer. Statement of the Research Objective The main purpose of this project is to analyze a number of data of human life expectancy of 147 different countries. Moreover‚ the research expects to examine the difference of life expectancy among these countries including developed and developing countries. Furthermore‚ the research
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The companies described in this case used big data for different reasons that were essential for the company. In the case of Green Mountain Coffee‚ they used audio and text on both structured and unstructured platforms to gather data about their customers. The data was compiled and then used to find out the behaviors and spending habits of the users to better advertise to each individual customer. Using this data allowed Green Mountain Coffee to figure out how customers were finding products‚ asking
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ONTELA PICDECK – Understanding the market place – Assignment 1 Questions: 1. Based only on the cluster analysis data‚ which preference related variables are most useful for segment identification and evaluation? Which variables are least useful? This qualitative research aims in identifying and evaluating the potential customers of PicDeck and determinate a precise target. The interviewees have been asked to answer questions based on a ranking system from 1 (strongly disagree) to 5 (strongly
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terabytes of data per day. However‚ what is unique about Zynga is not their large playerbase‚ but the way in which they use the ladder of inference format to process the huge amount of data into information and knowledge. Zynga rely heavily on their ‘Business Intelligence’ which can be defined as an Organization’s ability to take all its capabilities and convert them into knowledge. This again can be referenced back to the ladder of inference and a company like Zynga’s ability to convert raw data into
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horizon • Select forecasting technique • Gather and analyze the appropriate data • Prepare the forecast • Monitor the forecast Types of Forecasts • Qualitative o Judgment and opinion o Sales force o Consumer surveys o Delphi technique • Quantitative o Regression and Correlation (associative) o Time series Forecasts Based on Time Series Data • What is Time Series? • Components (behavior) of Time Series data o Trend o Cycle o Seasonal o Irregular o Random variations Naïve
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Frist step ‚ collecting the data from Yahoo. Finance‚ and calculate the quarterly return by the formula (return of fourth mouth- the return of frist mouth)/ retrun og first mouth Question a Average quarterly return= average (all returns of one asset) Standard deviations= stdeva (all returns of one asset) Question b and c File—options—add-ins—solver add in--go‚ and click all the options‚ then using the data analysis‚ choosing correlation (covariance)‚ then selecting all the returns of all
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