S1 Jan 2001 1) The students in a class were each asked to write down how many CDs they owned. The student with the least number of CDs had 14 and all but one of the others owned 60 or fewer. The remaining student owned 65. The quartiles for the class were 30‚ 34 and 42 respectively. Outliers are defined to be any values outside the limits of 1.5(Q3 – Q1) below the lower quartile or above the upper quartile. On graph paper draw a box plot to represent these data‚ indicating clearly any outliers
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Chapter 12 Data Envelopment Analysis Data Envelopment Analysis DEA is an increasingly popular management tool. This write-up is an introduction to Data Envelopment Analysis DEA for people unfamiliar with the technique. For a more in-depth discussion of DEA‚ the interested reader is referred to Seiford and Thrall 1990 or the seminal work by Charnes‚ Cooper‚ and Rhodes 1978 . DEA is commonly used to evaluate the e ciency of a number of producers. A typical statistical approach is characterized
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Business Statistics 11th Edition Chapter 1 Introduction and Data Collection Basic Business Statistics‚ 11e © 2009 Prentice-Hall‚ Inc. Chap 1-1 Learning Objectives In this chapter you learn: How Statistics is used in business The sources of data used in business The types of data used in business The basics of Microsoft Excel The basics of Minitab Basic Business Statistics‚ 11e © 2009 Prentice-Hall‚ Inc.. Chap 1-2 Why Learn Statistics? So you are able
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Data warehousing and OLAP Swati Vitkar Research Scholar‚ JJT University‚ Rajasthan. Abstract: Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support‚ which has increasingly become a focus of the database industry. Many commercial products and services are now available‚ and all of the principal database management system vendors now have offerings in these areas. Decision support places some rather different requirements on database technology compared
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BOC-008-0312/2007 DATA COLLECTION METHODS Methods of data collection. The term data means groups of information that represent the qualitative or quantitative attributes of a variable or set of variables. Data are typically the results of measurements and can be the basis of graphs‚ images‚ or observations of a set of variables. Data are often viewed as the lowest level of abstraction from which information and knowledge are derived. Data can be classified into primary and secondary data. In order to
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33151 – DATA COMMUNICATION AND COMPUTER NETWORKS ASSIGNMENT 1 (CO1‚ CO2 : PO1‚PO3) Note: • Submission Date: On or before but not after 12-10-2012 • Refer “Data Communications and Networking” 4th edition‚ Behrouz A. Forouzan • No Plagiarism • Kindly use A4 sheets 1. For n devices in a network‚ what is the number of cable links required for a mesh‚ ring‚ bus‚ and star topology? 2. Assume five devices are arranged in a mesh topology. How many cables
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More than Data Warehouse- An insight to Customer Information Ritu Aggrawal – agg_ritu@rediffmail.com Deepshikha Kalra -deepshikha_ishan@yahoo.co.in working with MERI affiliated to GGSIPU‚ Delhi ABSTRACT The business requirements of an enterprise are constantly changing and the changes are coming at an exponential rate. Like advances in Information Technology have helped companies to quickly match competition. As a result‚ product quality and cost are no longer significant competitive
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Effectiveness of Health Data Exchange Introduction: The major goal for moving towards the electronic health care exchange is to have improvement in the health care and also have the lowering of costs. The health care is seen to be one of the largest segments which account for 20% of the US GDP. Research has shown that Health Information Exchanges (HIEs) has provided the HITECH (Health Information Technology for Economic and Clinical Health) which gas made more than $15.5 billion available to the
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ASSIGNMENT 1- BU1007 Question 1 (i) The following data represent the cost of electricity during July 2006 for a random sample of 50 one-bedroom apartment in a large city Electricity Charge ($) | 96 | 157 | 141 | 95 | 108 | 171 | 185 | 149 | 163 | 119 | 202 | 90 | 206 | 150 | 183 | 178 | 116 | 175 | 154 | 151 | 147 | 172 | 123 | 130 | 114 | 102 | 111 | 128 | 143 | 135 | 153 | 148 | 144 | 187 | 191 | 197 | 213 | 168 | 166 | 137 | 127 | 130 | 109 | 139 | 129 | 82 | 165
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Analyzing and Interpreting Data Team “A” Mona Anderson‚ Jeanine Camacho‚ Mary Hopkins QNT/351 April 25‚ 2013 John Carroll Analyzing and Interpreting Data Our team has collected‚ summarized‚ and interpreted data from the employee survey during the third and fourth weeks of investigation. Findings from the first survey reported that a second survey will be pre-tested before distribution to the employees to ensure effectiveness. The survey questions will be written differently or
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