Topic: Correlation between Teachers’ qualification and Students’ academic performance in Senior High Schools in Lagos State‚ Nigeria. Research Question: Do teachers’ qualifications affect the academic performance of students? Justification: The study of teachers’ qualifications is important because of the concern for students’ academic performance. The job of a teacher‚ no doubt‚ requires the display of‚ among other qualities‚ a high sense of ability to relate with students from diverse backgrounds
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s= = x-x2n-1 | Q1n+14‚ Q7+14=84=2postion Q3=3(n+1)4=3(7+1)4=244=6‚ IQR Q3-Q1‚ | CV=sx×1003.297×100%=47%/ n = 5 has a mean of 10.2.four data: 9‚ 10‚ 8 17‚ find the missing data value.x=i=1nxin=8+9+10+17+?5=*5=10.2‚ 5×10.2=51 Therefore: 8+9+10+17+?=51Therefore: 8+9+10+17+?=51Simplifying: 44+?=51And so ?=51-44=7Thus the missing data value is 7. | Variance/s2= x-x2n-1‚ [3-72+4-72+7-72+7-72+9-72+12-72]6-1 =545 =10.8 | egA manufacturer of insulation randomly selects 20 winter days
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Big Data Management: Possibilities and Challenges The term big data describes the volumes of data generated by an enterprise‚ including Web-browsing trails‚ point-of-sale data‚ ATM records‚ and other customer information generated within an organization (Levine‚ 2013). These data sets can be so large and complex that they become difficult to process using traditional database management tools and data processing applications. Big data creates numerous exciting possibilities for organizations‚
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PRINCIPLES OF DATA QUALITY Arthur D. Chapman1 Although most data gathering disciples treat error as an embarrassing issue to be expunged‚ the error inherent in [spatial] data deserves closer attention and public understanding …because error provides a critical component in judging fitness for use. (Chrisman 1991). Australian Biodiversity Information Services PO Box 7491‚ Toowoomba South‚ Qld‚ Australia email: papers.digit@gbif.org 1 © 2005‚ Global Biodiversity Information Facility Material
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There are many different ways to describe the data we collect and all are important when conducting business. The mean of a data set is the sum divided by the # of observations. Now saying exactly what a mean is can be helpful‚ applying it to the business world makes understanding it a lot easier. Mean can be used in a business environment by both tax offices and retailers when collecting income from a group of people; in this case both groups are interested in the total amount of money that happens
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GAT Practice Test GAT General Sample Paper Number of Questions: 100 Time allowed: 120 minutes English This section contains questions from following topics: Analytical Reasoning This section contains following types of questions: Collecting given information Conclusion; after gathering given information Inference from the given information and conclusion ww Basic Algebra Word Problems Arithmetic and Logic Geometry w. Quantitative Bo This section contains
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Chapter 3 Data Description 3-1 Measures of Central Tendency ( page 3-3) Measures found using data values from the entire population are called: parameter Measures found using data values from samples are called: statistic A parameter is a characteristic or measure obtained using data values from a specific population. A statistic is a characteristic or measure obtained using data values from a specific sample. The Measures of Central Tendency are: • The Mean • The
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Last updated: March 13‚ 08 SAMPLE ABSTRACT OUTLINE An abstract should briefly: • (Re)-establish the topic of the research project. • Give the research problem and/or main objective of the project (this usually comes first). • Indicate the methodology used. • Present the main findings. • Present the main conclusions See suggestions below‚ but also visit the section “EXAMPLES” at http://www.languages.ait.ac.th/el21abst.htm 1. Word limit: An abstract (including a bibliography or examples
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an era of big data‚ this data-driven world has the potential to improve the efficiencies of enterprises and improve the quality of our lives; however‚ there are a number of challenges that must be addressed to allow us to exploit the full potential of big data. This paper focuses on challenges faced by online retailers when making use of big data. With the provided examples of online retailers Amazon and eBay‚ this paper addressed the key challenges of big data analytics including data capture and
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Ensuring Data Storage Security in Cloud Computing Cong Wang‚ Qian Wang‚ and Kui Ren Department of ECE Illinois Institute of Technology Email: {cwang‚ qwang‚ kren}@ece.iit.edu Wenjing Lou Department of ECE Worcester Polytechnic Institute Email: wjlou@ece.wpi.edu Abstract—Cloud Computing has been envisioned as the nextgeneration architecture of IT Enterprise. In contrast to traditional solutions‚ where the IT services are under proper physical‚ logical and personnel controls‚ Cloud Computing
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