Not for distribution. Contents 1. Preface 1 2. Methods, Standards, and Work Design: Introduction 7 Problem-Solving Tools 27 3. Tex 29 4. Operation Analysis 79 5. Manual Work Design 133 6. Workplace, Equipment, and Tool Design 185 7. Work Environment Design 239 8. Design of Cognitive Work 281 9. Workplace and Systems Safety 327 10. Proposed Method Implementation 379 11. Time Study 413 12. Performance Rating and Allowances 447 13. Standard Data and Formulas 485 14. Predetermined Time Systems 507
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Corporate Carbon Strategies Threats and opportunities arising from the new energy imperative Reference Code: BI00036-019 Publication Date: March 2011 1 About the authors Professor Merlin Stone Merlin is Head of Research at The Customer Framework. He is author or co-author of many articles and thirty books and also on the editorial advisory boards of several academic journals. He has a first class honors degree and doctorate in economics from Sussex University, UK. In parallel to his
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investopedia.com/terms/z/z-test.asp#ixzz2LEqfeJnN | IV – NominalDV – Interval | | 2. T – test | to compare the means when the population mean is known but the population variance is unknown.Also when the population standard deviation is unknown but the sample standard deviation can be computed.Source:Basic Statistics Book | OrdinalInterval | | 3. F – test | used when comparing statistical models that have been fitted to a data set, in order to identify the model that best fits the population from
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=SUMPRODUCT(weights, values) / n Where n = SUM(weights) Median =MEDIAN() Mode =MODE() Range =MAX()-MIN() Class Width =range / number of classes All Versions of Excel Excel 2010 Variance Sample: =VAR() =VAR.S() Population: =VARP() =VAR.P() Standard Deviation (SD) Sample: =STDEV() =STDEV.S() Population: =STDEVP() =STDEV.P() Or,=SQRT(variance) Or, =variance^0.5 Skewness =3*(AVERAGE() - MEDIAN()) / SD Coefficient of Variation =SD / AVERAGE() * 100 Em. R 1)68 2)95 3)99.7 lower value
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Katy Chilton Danle Case 08-9 Case 08-9 Fraud and Illegal Acts We have been hired to perform an audit of Jersey Johnnie’s Surfboards Inc. (the “Company”), which is an SEC registrant. Before completing the December 31, 2005, audit of the Company, Harry Hodad, the engagement partner, received a call from Tom Tube, the Company’s director of ethics and compliance. Mr. Tube said that the Company’s outside service provider that receives calls to the Company’s ethics and compliance hotline had informed
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number = 39 c. The biggest value = 67, lowest value = 23; so, the range is 67 – 23 = 44 Standard deviation = sqrt([(28 - 40.84)^2 + (39 - 40.84)^2 + (...same pattern) + (29 - 40.84)^2] / 25 ) =14.55 82. a. Mean = (3 x 90 + 8 x 110 + 12 x 130 + 16 x 150 + 7 x 170 + 4 x 190) / 50 = 141.2 b. Standard deviation =sqrt((3(90 - 141.2)^2 + 8(110 - 141.2)^2+ (...same pattern) +4(190 141.2)^2) / 50) =26 c. Within two standard deviations 95% 141.2 – 2 x 26.2, 141.2 + 2 x 26.2 Limits between 88.8 and 193.6 87
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Ford Report on the BUSINESS IMPACT OF CLIMATE CHANGE FORD REPORT ON THE BUSINESS IMPACT OF CLIMATE CHANGE Table of Contents Foreword 1 Introduction Implications Actions Challenges Convergent Issues Commitment 2 2 3 3 3 Background The climate issue Business Drivers Market Share Regulatory compliance Shareholder value Industry Considerations 4 4 4 4 5 5 Strategic Roadmap Strategic principles Strategic actions Product Policy Plants People Partnerships 6 6 7 7 8 9 9 9 Conclusion
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Introduction: Decision makers make better decisions when they use all available information in an effective and meaningful way. The primary role of statistics is to to provide decision makers with methods for obtaining and analyzing information to help make these decisions. Statistics is used to answer long-range planning questions, such as when and where to locate facilities to handle future sales. Definition: Statistics is defined as the science of collecting, organizing, presenting, analyzing
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identified as well as opportunities to maximize the limited amount of time I have to complete my morning routine. This paper will again use the process identified in week one to complete a Statistical Process Control that can be used to verify my standard process is operating in a way that allows me to complete all of the tasks and affords me additional time. This paper will also outline the control limits of my morning process, the effects of any seasonal factors, and the confidence intervals involved
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Problem 1 A random sample of 16 adult males is about to get into an elevator which has a weight capacity of 2900 lbs. The adult male weight follows the normal distribution with a mean of 170 lbs and a standard deviation of 15 lbs. (a) What is the probability that the total weight for this sample of 16 adult males will exceed 2900 lbs? Hint: This is the same as calculating the probability that the average weight for a random sample of 16 exceeds 2900/16. (b) Will the probability
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