| | |Statistics | Copyright © 2010, 2006 by University of Phoenix. All rights reserved. Course Description This course surveys descriptive and inferential statistics with an emphasis on practical applications of statistical analysis. The principles of collecting, analyzing, and interpreting data are
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Part 1. Basic Concepts of Statistics Basic Concepts of Statistics • Every four years, we suffer through an affliction, the presidential election. • Months before the election, public media will inform us that a poll conducted by the opinion research shows that a candidate gains support of more than 50 percent of voters. 1 2 Basic Concepts of Statistics • However, the high percent of support will be with a margin of error of plus or minus 3%. • What is meant by the term margin of error
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Syllabus). To conduct your laboratory exercises, use the Laboratory Manual that is available in the WebTycho classroom (Reserved Reading or provided by your instructor) or at the eScience Labs Student Portal. Laboratory exercises on your CD may not be updated. Save your Lab 1 Answer Form in the following format: LastName_Lab1 (e.g., Smith_Lab1). You should submit your document in a Word (.doc or .docx) or Rich Text Format (.rtf) for best compatibility. Exercise 1: Data Interpretation Table 1: Water
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Exercise 11 11.1 What demographic variables were measured at least at the interval level of measurement? The age which is measured in years, the number of hours per week, annual income in dollars, return to work in weeks and the length of labor which is measured in hours could all be measured in interval level of measurement. They have fixed interval thus making it suitable for this kind of measurement. 11.2 What statistics are used to describe the length of labor in this study? Were
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Probability & Statistics for Engineers & Scientists This page intentionally left blank Probability & Statistics for Engineers & Scientists NINTH EDITION Ronald E. Walpole Roanoke College Raymond H. Myers Virginia Tech Sharon L. Myers Radford University Keying Ye University of Texas at San Antonio Prentice Hall Editor in Chief: Deirdre Lynch Acquisitions Editor: Christopher Cummings Executive Content Editor: Christine O’Brien Associate Editor: Christina Lepre Senior
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Background: ˚ – PhD in economics (Arhus) 1999 – System developer (Simcorp) 1999-2000 – Assisting/Associate Professor/Lecturer (CBS) 2000-2012 2 / 17 • Goal The overall goal • Practical implementation of financial theory How to get there? • Exercise-based (solving “real world” problems) • IT-based, everything based on Excel (and VBA) • Professional data source: Datastream Results • • • • Better understanding of (known) financial theory Better Excel-skills Better feeling with real world
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BADB2013 BUSINESS STATISTICS Semester : September2014 Course Leader : Zainora Hayat Hudi @ Jahit Office Location : Faculty of Business and Information Technology Level 12, Tierra Crest, Jalan SS6/3 Kelana Jaya, 47301 Petaling Jaya, Selangor Telephone : 603-76277388 E-mail : zainora@unitar.my Consultation Hours : Wednesday 2.30pm – 4.30pm, Thursday 2.30pm-4.30pm OR by appointment Course Synopsis Business Statistics is the science of collecting, organizing, and summarizing data to provide
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issue, problem, or opportunity facing a Learning Team member’s organization to examine using hypothesis testing and a regression analysis on the collected data. Write a 1,050- to 1,750-word paper describing a new hypothesis test using a different statistic (e.g., large sample size, small sample size, means and/or proportions, one- and two-tailed tests) to perform on that data. Formulate a new hypothesis statement and perform the five-step hypothesis test on the data. Describe the results of the
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reliability coefficients and measurement error—and (iii) evidence for validity—including evidence based on instrument content, response processes, internal structure, other variables and consequences. An example analysis of a self-efficacy (SE) scale for exercise is used to illustrate these comparisons. The investigation found that there were (i) aspects of the techniques and outcomes that were similar between the two approaches, (ii) aspects where the item response modeling approach contributes to instrument
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management writer could wish to teach his readers on the benefits of proper book-keeping to a business. In this regard, he could start by giving examples of businesses that have succeeded by maintaining proper business records. He could as cite relevant statistics to show that book-keeping is a good practice for every business. However, he should show respect to readers who are of a different opinion. If possible, and necessary, he should state his personal experience with this topic, for example, “As an
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