assure the elimination of “real” root causes. Actions •Identify Root Causes •Design Root Cause Verification Analysis •Validate Root Causes Deliverables •Data Analysis •Process Maps •Validated Root Causes attivaRes 1. The major objective is to find the root causes 1. 2. Source of Customer dissatisfaction Poor business result 2. Through root causes analysis the team leads to the underlying source of defect and can change the process to permanently eliminate the problem
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Organize the Data • Data imported from SalesData.csv text file located in Course Project Materials in DocSharing. • Professional formatting follows the formatting guidelines we studied during the first week of class. • Documentation sheet added to provide author‚ purpose‚ and date and provide information about each of the sheets you will create as you analyze the data. • At least one calculated field added and copied to all cells in the worksheet. Analyze the Data Analyze the
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MONITORING AND AUTOMATION OF CULTIVATION AND DATA TRANSFER BY USING ZIGBEE AIM: The main aim of this project is to implement the networked agricultural monitoring and controlling system using Zigbee Technology. PURPOSE: The purpose of the project is to provide the details of soil fertility‚ temperature‚ humidity and to control these parameters. METHODOLOGY: BLOCK DIAGRAM
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Statistics Investigation Introduction A new drug was developed that was claimed to lower the cholesterol level in humans. A leading heart specialist was interested to know if the claim made by the company selling the drug was accurate. They enlisted the help of 50 patients. They agreed to take part in an experiment in which 25 patients would be randomly allocated to a group that would take the new drug and the other 25 would take an identical looking pill that was a placebo (a sugar pill that
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How to Lie with Statistics Summary There are some people that rely heavily on the statistical information provided by the media‚ government‚ and other research groups in order to form opinions or come to a conclusion on a particular idea or product. However they fail to realize that a lot of the time the data is manipulated in such a way that leads them to believe something that is not actually the case. Statistics can lie in many ways the first way is by using a sample that has a bias. For instance
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SPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection)‚ data mining (IBM SPSS Modeler)‚ text analytics‚ and collaboration and deployment (batch and automated scoring services). Contents [hide] 1 Statistics program 2 Versions 2.1 Ownership history 3 Add-ons 4 Release history 5 See also 6 Notes 7 References 8 External
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time series data of reasonable length on any financial variable of your interest. Instead of real time series‚ you may as well consider a time series of artificially generated (i.e.‚ simulated) data such that the DGP of the series incorporates‚ inter alia‚ volatility. i. Plot the data and comment on its nature. Check also if the time series is stationary. ii. Fit an appropriate conditional mean model to this data. Test if
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p r(1 − p) pet 1 − (1 − p)et p 2 r MATHEMATICAL STATISTICS WITH APPLICATIONS This page intentionally left blank SEVENTH EDITION Mathematical Statistics with Applications Dennis D. Wackerly University of Florida William Mendenhall III University of Florida‚ Emeritus Richard L. Scheaffer University of Florida‚ Emeritus Australia • Brazil • Canada • Mexico • Singapore • Spain United Kingdom • United States Mathematical Statistics with Applications‚ Seventh Edition Dennis D. Wackerly
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Chapter 1 Multivariate analysis refers to all statistical techniques that simultaneously analyze multiple measurements on individuals or objects under investigation. Factor analysis identifies the structure underlying a set of variables Discriminant analysis differentiates among groups based on a set of variables. All the variables must be random and interrelated in such ways that their different effects cannot meaningfully be interpreted separately. Nonmetric measurement scales Nominal
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Statistics Project | September 26 2011 | The project statistically studies and compares the daily closing price movement of two investment options – real estate and gold represented by DLF stock and SBI Gold ETF respectively – over the past 3 years. | Comparative study of DLF Stock and Gold ETF price movement | Contents Stage 1 3 Overview 3 Problem Statement 3 Inferences 5 Stage 2 6 Hypothesis Testing 6 Stage 3 7 Linear Regression Analysis 7 Manual Calculations 7 Regression
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