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    Course: Professor: Term: Sections: 001: 002: 003: 502: Contact Information: Office Phone Office Location Email OPRE 6301/SYSM 6303 (cross-listed courses) FALL 2012 Carol A. Flannery‚ Ed.D. Fall 2012 Friday Tues/Thurs Wednesday Thursday 4:00 pm to 6:45 pm 11:30 am to 12:45 pm 1:00 pm to 3:45 pm 7:00 pm to 9:45 pm SOM 1.217 SOM 2.106 SOM 1.117 SOM 1.212 972-883-5853 (Answered only during office hours) JSOM 2.416 flannery@utdallas.edu All contact concerning your

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    BUSINESS STATISTICS Agenda Introduction Descriptive Statistics One–Tailed Test About a Population Mean t-Test Using Two Independent Samples t-Test For Paired Samples Analysis of Variance (ANOVA) Regression Analysis U.S. Patent and Trademark Office (PT0) Descriptive Statistics Frequency Vs Total Provisional Filings One–Tailed Test About a Population Mean Selected a small sample of 12 months’ provisional application filings for large US entities (for fiscal year 1996) 1. Determine the Hypotheses

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    Health Statistics

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    Scenario: As an upcoming audit approaches‚ you want to ensure that your staff understands the basics of healthcare statistics and research. You decide to create a training packet that will be distributed to all employees in your department. For newly hired employees‚ the packet will assist them in learning the basics of the department. For current employees‚ the packet will serve as a review in order to maintain sharpened skills throughout the department. Create a written training piece (traditional

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    NONPARAMETRIC TESTS

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    Nonparametric Tests Basic Concepts • Sampling Distribution • Central Limit Theorem • Parametric Tests • Non Parametric Tests • When to use Nonparametric Tests? • Important Non Parametric Tests and their Parametric Alternatives • Advantages and Disadvantages of Nonparametric Tests. Useful TestsTest of Normality. • Chi Squared Tests • One-Sample Runs Test • Wilcoxon Signed-Rank Test • Mann-Whitney Test • Kruskal-Wallis Test • Spearman Rank Correlation Test Sampling

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    Are we really Independent

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    Are we really Independent… Our 1st Prime Minister Pandit Jawaharlala Nehru quoted : "Hum LayeHainTufan Se Kashti Nikal Ke‚Is desh ko rakhna mere baccho sambhal ke" By this punch-line the Govt. might want to convey to the future generation that please be careful regarding the foreign trade policies. They wanted us to be sure of the fact that our country shouldn’t get dependent on other nations‚ and our Govt.’s prior to 1991 strictly followed a closed economy paradigm. The Turing point: In

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    INTRODUCTION Inventory is the total amount of goods or materials contained in a store at any time. Store owners need to know the precise number of items on their shelves and storage areas in order to place orders or control losses. Factory managers need to know how many units of their products are available for customers orders. Restaurants need to order more food based on their current supplies and menu needs. All of these business rely on an inventory count to provide answers. The word ‘Inventory’

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    Ethics in Statistics

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    ASSIGNMENT: Ethics in Statistics There are a number of possible ways in which unethical behavior can arise in statistics and researchers should steer clear of these. It is relatively simple to manipulate and hide data‚ projecting only what one desires and not what the numbers actually speak‚ thus giving birth to the famous phrase “Lies‚ damned lies and statistics”. However‚ this doesn’t happen all the time and there is no reason not to believe in the conclusions of a statistical analysis (Siddharth

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    Are Uk Judges Independent

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    fusion of government branches that are inevitable in a parliamentary government. On the other hand it could also be strongly argued that both independence and neutrality are strongly upheld within the judiciary. It can be argued that judges are independent to a great extent due to the reformed appointment process. The

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    Reputation Concerns of Independent Directors: Evidence from Individual Director Voting1 Wei Jiang2 Columbia Business School Hualin Wan3 Shanghai Lixin University of Commerce Shan Zhao4 Shanghai University of Finance and Economics This Draft: July 2012 1 The authors benefit from discussions with seminar and conference participants at ESCP Europe‚ EM Lyon‚ Grenoble School of Management‚ Reims Management School‚ the

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    Statistics - Final Project

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    Yarn Production Statistics - Final Project Table of contents 1.0 Introduction 3 1.1 The aim of the study 3 2.0 Methodology 3 2.1 Correlation 4 2.2 Independent Samples Test 4 2.3 Two Way Anova 4 2.4 One Sample T-Test 4 2.5 Regression 5 2.6 Histogram 5 3.0 Data Analysis 5 3.1 Question 2 5 3.2 Question 3 6 3.3 Question 4 7 3.4 Question 5 8 3.5 Question 6 8 3.6 Question 7 10 4.0 Conclusions 11 5.0 References 12 1.0 Introduction A company

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