...statistics students, have access to SPSS and Minitab so in most cases these exercises provide specific instructions for these two packages. We have also included instructions for Excel 2007. While we are cognizant of the issues with using Excel for statistical analyses, we also realize its simplicity for basic functions such as graphing, and we use it in our classes along with Minitab and SPSS because we feel that business students should be proficient in its use. We used SPSS version 15, Minitab version 15, and Excel 2007 to write the following instructions. If your students will be using other versions of these softwares or if you prefer that your students use different statistical software, you will need to edit the instructions accordingly before distributing to your students. Exercise 1: Data Retrieval and Graphing Learning Objectives: 1. Locate and retrieve data from a web site. 2. Place retrieved data into Excel and format appropriately. (This step is recommended because the format from the website is not easily imported directly into SPSS and Minitab). 3. Create and format a time series plot in SPSS, Minitab, Excel or other software. Instructions for the students: For this exercise you will use movie box office data found at http://www.the-numbers.com/. You will locate data for a specific movie, bring the data to Excel to format it, and then create a time series plot using SPSS, Minitab, Excel or other software. 1. Go to http://www.the-numbers.com/ and click...
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...Organizational Part 1. A. Introduction: Grameenphone is the largest mobile telecommunications operator in Bangladesh in terms of revenue, coverage and subscriber base. The company was incorporated on October 10, 1996 as a private limited company. Grameenphone converted to a public limited company on June 25, 2007. Trading of the company‘s shares started at Dhaka and Chittagong Stock Exchanges from 16 Nov. 2009. The shareholding structure comprises of mainly two sponsor Shareholders namely Telenor Mobile Communications AS (55.80%) and Grameen Telecom (34.20%). The rest 10.00% shareholding includes General public & other Institutions. Since its inception in March 1997, Grameenphone has built the largest cellular network in the country with over 12,000 base stations in more than 6000 locations. Presently, nearly 98 percent of the country's population is within the coverage area of the Grameenphone network. The company has so far invested more than BDT 15,260 crore to build the network infrastructure since its inception in 1997. Grameenphone is also one the largest taxpayers in the country, having contributed more than BDT 16,600 crore in direct and indirect taxes to the Government Exchequer over the years. Grameenphone was also the first operator to introduce the pre-paid service in September 1999. It established the first 24-hour Call Center, introduced value-added services such as VMS, SMS, fax and data transmission services, international roaming service, WAP...
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... BUSN 0408 – Marketing Research ------------------------------------------------- ------------------------------------------------- Instructor: Dr. Jack Crumbly ------------------------------------------------- Office hours: MW 11:00AM - 1:00PM, T: 10:00AM-12:00PM F: 11:00AM-12:00PM or by appointment ------------------------------------------------- Office location: College of Business Room 208 ------------------------------------------------- Phone: 334-727-8733 ------------------------------------------------- Email: crumblyj@mytu.tuskegee.edu ------------------------------------------------- ------------------------------------------------- Textbooks: Basic Marketing Research Using Microsoft Excel Data Analysis, 3rd edition by Alvin C. Burns and Ronald F. Bush; Prentice Hall, Upper Saddle River, NJ: Pearson Education Inc. ------------------------------------------------- ISBN: 978-0-13-507822-8 ------------------------------------------------- ------------------------------------------------- Course Description & Purpose The purpose of this course is to provide you with the knowledge and skills necessary to conduct a market research project from its inception to completion, including problem formulation, research design, sampling, data analysis, and interpretation of results. Students are exposed to a number of research techniques, including several descriptive analyses, mean comparison methods...
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...Keller Graduate School of Management Applied Managerial Statistics (GM533) Course Project Case Study: Grocery Bags data gathered and written by ME Applied Managerial Statistics GM533 Instructor: XX I. Executive Summary For this research I decided to develop my own case study and collect all the data myself. The data file named “Grocery Bag Study” (separate attachment), contains observations on 33 sample groups with a variation of 8 different characteristics (see table below). These characteristics include ethnicity, number of adults and minors in household, the number of bags collected weekly, the number of bags they recycle or reuse, the use of reusable fabric shopping bags, how many they throw away and the sex of the adults in the household. The totals for the bags are shown in the table below (Table A.1). For the sake of this study, I am going to combine the paper and plastic together because I want my dependent variable to be the number of bags recycled each week. I want to determine if the independent variables affect the recycle rate and which ones affect it the most, which can be eliminated and what my conclusions will be. II. Calculations This file was used to prepare a report on the influence of various options on grocery bags collected each week and to relay how this information could be used to determine the recycle rates (y). Statistical analysis by Hypothesis Testing and Multiple Regression Analysis was performed on the collection of grocery...
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...the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher. 0-07-141596-3 The material in this eBook also appears in the print version of this title: 0-07-141015-5. All trademarks are trademarks of their respective owners. Rather than put a trademark symbol after every occurrence of a trademarked name, we use names in an editorial fashion only, and to the benefit of the trademark owner, with no intention of infringement of the trademark. Where such designations appear in this book, they have been printed with initial caps. McGraw-Hill eBooks are available at special quantity discounts to use as premiums and sales promotions, or for use in corporate training programs. For more information, please contact George Hoare, Special Sales, at george_hoare@mcgraw-hill.com or (212) 904-4069. TERMS OF USE This is a copyrighted work and The McGraw-Hill Companies, Inc. (“McGraw-Hill”) and its licensors reserve all rights in and to the work. Use of this work is subject to these terms. Except as permitted under the Copyright Act of 1976 and the right to store and retrieve one copy of the work, you may not decompile, disassemble, reverse engineer, reproduce, modify, create derivative works based upon, transmit, distribute, disseminate, sell, publish or sublicense the work or any part of it without...
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...CHAPTER 1 INTRODUCTION The machining conductive as well as nonconductive advanced engineering materials such as glass, ceramics, quartz, granite and composite materials are difficult to machine by usual process. These materials are having wide range of applications in the field of automobile, aerospace and defense field. So processing of these materials is necessary with easy and economical way. Hence Hybrid Machining Process (HMP’s) like ECSM is evolved and is shown in fig1.1. ECSM is the combination of ECM and ESM process, Electro Chemical Machining (ECM) and Electro Spark Machining (ESM) can machine only electrically conductive materials and these two are mot preferable for machining non-conducting and partially conducting advanced materials....
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...Associate Content Editor: Dana Jones Bettez Senior Managing Editor: Karen Wernholm Associate Managing Editor: Tamela Ambush Senior Production Project Manager: Peggy McMahon Senior Design Supervisor: Andrea Nix Cover Design: Christina Gleason Interior Design: Tamara Newnam Marketing Manager: Alex Gay Marketing Assistant: Kathleen DeChavez Associate Media Producer: Jean Choe Senior Author Support/Technology Specialist: Joe Vetere Manufacturing Manager: Evelyn Beaton Senior Manufacturing Buyer: Carol Melville Production Coordination, Technical Illustrations, and Composition: Laserwords Maine Cover Photo Credit: Abstract green flow, ©Oriontrail/Shutterstock Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and Pearson was aware of a trademark claim, the designations have been printed in initial caps or all caps. Library of Congress Cataloging-in-Publication Data Mendenhall, William. A second course in statistics : regression analysis/ William Mendenhall, Terry Sincich –7th ed. p. cm. Includes index. ISBN 0-321-69169-5 1. Commercial statistics. 2. Statistics. 3. Regression analysis. I. Sincich, Terry, II. Title. HF1017.M46 2012 519.5′ 36–dc22 2010000433 Copyright © 2012, 2003, 1996 by Pearson Education, Inc. All rights reserved. No part of this publication may be reproduced, stored in a...
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...Calhoun Publisher: Joe Sabatino Senior Acquisitions Editor: Charles McCormick, Jr. Developmental Editor: Elizabeth Lowry Editorial Assistant: Nora Heink Senior Marketing Communications Manager: Libby Shipp Marketing Manager: Adam Marsh Content Project Manager: Jacquelyn K Featherly Media Editor: Chris Valentine Manufacturing Buyer: Miranda Klapper Production House/Compositor: MPS Limited, a Macmillan Company Senior Rights Specialist: John Hill Senior Art Director: Stacy Jenkins Shirley Internal Designer: KeDesign/cmiller design Cover Designer: Cmiller design Cover Images: © iStock Photo © 2012, 2009 South-Western, a part of Cengage Learning ALL RIGHTS RESERVED. No part of this work covered by the copyright herein may be reproduced, transmitted, stored or used in any form or by any means graphic, electronic, or mechanical, including but not limited to photocopying, recording, scanning, digitizing, taping, Web distribution, information networks, or information storage and retrieval systems, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the publisher For product information and technology assistance, contact us at Cengage Learning Customer & Sales Support, 1-800-354-9706 For permission to use material from this text or product, submit all requests online at www.cengage.com/permissions Further permissions questions can be emailed to permissionrequest@cengage.com ExamView® and ExamView Pro® are registered...
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...|[pic] | Course Syllabus | | | |WEDNESDAY | | | |Downtown Campus | | | |6:00pm to 10:00pm | | | |School of Business | | | |QNT/351 | | | |Quantitative Analysis for Business | | | |Dr. Jacquelyn B. Frausto | | Copyright © 2013, 2012, 2011 by University of Phoenix. All rights reserved. Course Description This course integrates applied business research and descriptive statistics. Students will learn to apply business research and descriptive statistics in making better business decisions. Other topics include...
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...Milk Price Investigation MAB233 Engineering Mathematics 3 Group Report Due Date: 5th November, 2012 Table of Contents Executive Summary 5 1.0 Introduction 6 2.0 Data Collection 6 2.1 Context and issues of interest 6 2.2 Planning and collection of data 6 2.2.1 Planning 6 2.2.2 Collection of variables 7 2.3 Quality of data and discussion 8 3.0 Data Exploration 9 3.1 Handling and processing data 9 3.2 Exploring and analysis 10 3.2.1 Histogram of unit price 10 3.2.2 Stem-and-leaf of price and unit price 11 3.2.3 Descriptive Statistics of price, unit price with type 12 3.2.4 Scatterplot of unit price, quality guarantee period and type of milk 13 3.2.5 Dotplot of price 14 3.2.6 Boxplot of unit price 15 3.2.7 Bar chart of container size and packaging 15 3.2.8 Pie chart of brand 16 3.3 Observation and commenting 16 4.0 Data analysis 17 4.1 One way ANOVA analysis 17 4.1.1 Price versus Packaging 17 4.1.2 Price versus Quality guarantee period 19 4.1.3 Unit price versus Type 21 4.1.4 Unit price versus Brand 23 4.2 Two way ANOVA analysis 26 4.2.1 Price versus Quality guarantee period and Type 26 4.2.2 Unit price versus Store and Brand 28 4.3 Regression 30 5.0 Conclusion 31 Reference 32 Appendix 33 Appendix A 33 Appendix B 34 List of Illustrations Figure 1. Planning for data collection 7 Figure 2. Grouped histogram of unit price 10 Figure 3. Stem-and-leaf of unit price 11 Figure 4. Stem-and-leaf of price…………………………………………………………………………………………………12 ...
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...1 Case study On Six Sigma at Wipro Technologies: Thrust on Quality Abstract: Six Sigma at Wipro Technologies: Thrust on Quality Wipro Technologies is a global services provider delivering technology-driven business solutions that meet the strategic objectives of clients. Wipro has 40+ ‘Centers of Excellence’ that create solutions around specific needs of industries. Wipro delivers unmatched business value to customers through a combination of process excellence, quality frameworks and service delivery innovation. Wipro is the World's first CMMi Level 5 certified software services company and the first outside USA to receive the IEEE Software Process Award. Wipro has one of the most mature Six Sigma programs in the industry ensuring that 91% of the projects are completed on schedule, much above the industry average of 55%. Six Sigma provides the tools for continuous improvement on existing processes thereby helping sustain the SEI-CMM Level 5 and CMMi certifications. This case focuses on the initiatives taken by Wipro Technologies to implement the Six Sigma Quality tool to achieve sustained strategic business results. It explores the implementation procedure at Wipro Technologies and the benefits reaped by the company on account of adopting Six Sigma. The case also throws light on the recent developments in the Six Sigma concept including Wipro’s Six Sigma Skill base and consulting experience and explains how the company intends to build its expertise and...
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...DISCRETE PROBABILITY DISTRIBUTIONS 5.3 EXPECTED VALUE AND VARIANCE Expected Value Variance 5.4 BIVARIATE DISTRIBUTIONS, COVARIANCE, AND FINANCIAL PORTFOLIOS A Bivariate Empirical Discrete Probability Distribution Financial Applications Summary 5.5 BINOMIAL PROBABILITY DISTRIBUTION A Binomial Experiment Martin Clothing Store Problem Using Tables of Binomial Probabilities Expected Value and Variance for the Binomial Distribution POISSON PROBABILITY DISTRIBUTION An Example Involving Time Intervals An Example Involving Length or Distance Intervals HYPERGEOMETRIC PROBABILITY DISTRIBUTION 5 5.6 5.7 74537_05_ch05_p215-264.qxd 10/8/12 4:05 PM Page 219 5.1 Random Variables 219 Exercises Methods SELF test 1. Consider the experiment of tossing a coin twice. a. List the experimental outcomes. b. Define a random variable that represents the number of heads occurring on the two tosses. c. Show what value the random variable would assume for each of the experimental outcomes. d. Is this random variable discrete or continuous? 2. Consider the experiment of a worker assembling a product. a. Define a random variable that represents the time in minutes required to assemble the product. b. What values may the random variable assume? c. Is the random variable discrete or continuous? Applications SELF test 3. Three students scheduled interviews for summer employment at the Brookwood Institute. In each case the interview results in either an offer...
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...CHAPTER 9 Hypothesis Tests CONTENTS 9.4 POPULATION MEAN: σ UNKNOWN One-Tailed Test Two-Tailed Test Summary and Practical Advice 9.5 POPULATION PROPORTION Summary 9.6 HYPOTHESIS TESTING AND DECISION MAKING 9.7 CALCULATING THE PROBABILITY OF TYPE II ERRORS 9.8 DETERMINING THE SAMPLE SIZE FOR A HYPOTHESIS TEST ABOUT A POPULATION MEAN STATISTICS IN PRACTICE: JOHN MORRELL & COMPANY 9.1 DEVELOPING NULL AND ALTERNATIVE HYPOTHESES The Alternative Hypothesis as a Research Hypothesis The Null Hypothesis as an Assumption to Be Challenged Summary of Forms for Null and Alternative Hypotheses 9.2 TYPE I AND TYPE II ERRORS 9.3 POPULATION MEAN: σ KNOWN One-Tailed Test Two-Tailed Test Summary and Practical Advice Relationship Between Interval Estimation and Hypothesis Testing 349 Statistics in Practice STATISTICS in PRACTICE JOHN MORRELL & COMPANY* CINCINNATI, OHIO John Morrell & Company, which began in England in 1827, is considered the oldest continuously operating meat manufacturer in the United States. It is a wholly owned and independently managed subsidiary of Smithfield Foods, Smithfield, Virginia. John Morrell & Company offers an extensive product line of processed meats and fresh pork to consumers under 13 regional brands including John Morrell, E-Z-Cut, Tobin’s First Prize, Dinner Bell, Hunter, Kretschmar, Rath, Rodeo, Shenson, Farmers Hickory Brand, Iowa Quality, and Peyton’s. Each regional brand enjoys high brand recognition and loyalty among consumers. Market...
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...QTM 3650 – Prof. Rick Cleary Class #9–Mon. 2/24/14 I.) Logistics - Return and discuss homework problems 12-14; notes below. Collect problems 15-16. - Final exam time for our class: Wednesday 5/7, 3:30 – 5:30 PM, Gerber 103. - Review schedule for upcoming two weeks: 10Weds. 2/26 | Classification and Regression TreesProject 1 dueTake home part of Exam #1 assigned | Text Chapter 9 | 11Mon. 3/3 | Finish Chapter 9Catch up/review/special topics/Visualization tools | - | 12Weds. 3/5 | EXAM #1In class portion and take home due | - | - A note on ground rules for the in-class exam: Each student may bring one 8.5” by 11” review sheet to the exam with them; OK to write on both sides. The sheet will be turned in with the exam. No electronic devices of any kind except for a calculator that can do simple arithmetic. It’s OK to use a hand-held device (not a laptop) as a calculator as long as it is used only for that purpose. If students don’t have a calculator, Prof. Cleary will have a couple on hand, or students may use the podium computer to do calculations only in Excel. Any connection to the internet or communication to others (texting, etc.) during the exam will be considered an academic integrity violation. - Today’s topics: Finish Chapter 8 on the naïve Bayes estimator and review the Chi-Squared test of independence. II.) Comments on homework problems 12-14. Problem 12.) While we reviewed this last...
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...Hypothesis Testing Can You Ever Know the Population Standard Deviation? USING STATISTICS @ Oxford Cereals, Part II Fundamentals of Hypothesis-Testing Methodology The Null and Alternative Hypotheses The Critical Value of the Test Statistic Regions of Rejection and Nonrejection Risks in Decision Making Using Hypothesis Testing Hypothesis Testing Using the Critical Value Approach Hypothesis Testing Using the p-Value Approach 9.4 Z Test of Hypothesis for the Proportion The Critical Value Approach The p-Value Approach Potential HypothesisTesting Pitfalls and Ethical Issues 9.5 9.2 t Test of Hypothesis for the Mean (S Unknown) The Critical Value Approach The p-Value Approach Checking the Normality Assumption One-Tail Tests The Critical Value Approach The p-Value Approach 9.6 Online Topic: The Power of a Test USING STATISTICS @ Oxford Cereals, Part II Revisited CHAPTER 9 EXCEL GUIDE CHAPTER 9 MINITAB GUIDE 9.3 Learning Objectives In this chapter, you learn: • The basic principles of hypothesis testing • How to use hypothesis testing to test a mean or proportion • The assumptions of each hypothesis-testing procedure, how to evaluate them, and the consequences if they are seriously violated • How to avoid the pitfalls involved in hypothesis testing • Ethical issues involved in hypothesis testing U S I N G S TAT I S T I C S @ Oxford Cereals, Part II s in Chapter 7, you again find yourself as plant operations manager for Oxford Cereals. You are responsible...
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