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    Data mining

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    it for any other purpose. DATE: 06/10/2013 Introduction: In data mining it is said that “success or failure often depends not only on how well you are able to collect data but also on how well you are able to convert them into knowledge that will help you better manage your business (Wilson‚ 2001‚ p. 26).” Tourism and hospitality industry generates massive amount of data. In each and every transaction there is set of data generated. In tourism and hospitality‚ knowing your customer is very

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    Question for Statistic

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    The results are shown below. Grade For the above data‚ determine a. The mean = ∑X/n = 664/8 = 83 b. c. The median = (85+87)/2 = 86 The standard deviation = √variance ariance = ∑ X - X 2/ n-1 = {(93-83)2 + (65-83)2 + (80-83)2 + (97-83)2 + (85-83)2 + (87-83)2 + (97-83)2 + (60 - 83)2 } / (8 -1) = 196.29 S0‚ standard deviation = √196.29 = 14.01 d. The coefficient of variation = 14.01/83 * 100% = 16.88% 93 65 80 97 85 87 97 60 4. The following data represent the daily supply (y in thousands of units)

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    Data mining

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    Data Mining Project – Dogs Race Prediction Motivation Gambling is very popular in the Republic of Ireland‚ weather is online or not‚ more people are joining gambling communities formed all over the Island of Ireland. The majority of these communities are involved in horse races related gambling and other sports‚ but there is a significant amount of people dedicated to dogs races. This is a multimillion Euro industry developed on-line and live or face to face. Objective There are many websites

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    Secondary Data

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    1 Secondary data analysis: an introduction All data are the consequence of one person asking questions of someone else. (Jacob 1984: 43) This chapter introduces the field of secondary data analysis. It begins by considering what it is that we mean by secondary data analysis‚ before describing the type of data that might lend itself to secondary analysis and the ways in which the approach has developed as a research tool in social and educational research. The second part of the chapter considers

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    Secondary Data

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    Q) What are Secondary Data? Secondary Data Secondary data is information gathered for purposes other than the completion of a research project. Data previously collected by someone else‚ possibly for some other purpose that can be used later for making decisions if found suitable for the purpose‚ other than the original one. Secondary data can be acquired from the internal records of the organization‚ their departments‚ subsidiaries or sister organizations and also from external sources‚ such

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    Statistics of Driving

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    Statistics Paper Driving is a very dangerous and often hazardous thing to do. This is especially true for people ages fifteen to nineteen. There are so many crashes each year for teen drivers that it’s a miracle anyone makes it past twenty years old unharmed. In 2009 alone three hundred and fifty teens were treated for a car related accident. Teen car crashes are preventable. Often times teens drink before they drive or while they drive which makes the vehicle

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    Statistics Test Questions

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    Sample Paper Mid Term Examination All questions carry equal marks (4 Marks Each) Q.No. 1 a) i) Suppose you are an operations manager for a plant that manufactures batteries. Give an example how you could use descriptive statistics to make better managerial decisions. ii) Listed here are 30 different weekly Dow Jones industrial stock averages. 2656 2301 2975 3002 2468 2742 2830 2405 2677 2990 2200 2764 2337 2961 3010 2976 2375 2602 2670 2922 2344 2760 2555 2524 2814 2996 2437 2268 2448 2460 Construct

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    DATA CLUSTERING

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    WORLD DATA CLUSTERING ADEWALE .O . MAKO DATA MINING INTRODUCTION: Data mining is the analysis step of knowledge discovery in databases or a field at the intersection of computer science and statistics. It is also the analysis of large observational datasets to find unsuspected relationships. This definition refers to observational data as opposed to experimental data. Data mining typically deals with data that has already been collected for some purpose or the other than the data mining

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    Beating the Statistics

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    Heather Rajski English 093-A5B Argument/Persuasive Essay Draft #1 10-31-2012                "Beating the Statistics"      Statistics show eighty-five percent of youth in prison‚ seventy-one percent of high school dropouts‚ ninety percent of homeless and runaway children have an absent father. Fatherless children and youth exhibit higher levels of: depression and suicide‚ delinquency and teen pregnancy‚ behavioral problems‚  illicit and licit substance abuse‚ diminished self-concepts‚ and

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    Questions on Statistics

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     The following are the salaries of employees in a small business:  15‚000  15‚000  17‚500  23‚500  23‚750  25‚000  26‚000  27‚500  29‚000  45‚000     a. Before using your calculator‚ do you think that the mean or the median for these values  will be higher? Why do you think so?    b. What are the mean and median of the salaries? Was your answer to (a) correct?    c. Find the standard deviation and the IQR of the data    d. Describe the shape of the distribution terms of its overall shape‚ including outliers and  skewness. Be sure to give the locations of the main features 

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