and to identify the best parameter setting. After observing the processes and understanding the basics‚ I came out with 3 factors viz. Logistics‚ Oil Change and Time to Serve. Here I have used L9 Taguchi Design for experimentation with the help of Minitab software at design and analyses phase Key Words- Factors‚ Factor Levels‚ Main Effect Plot for Means‚ Main Effect Plot for SN Ratio. Introduction KFC is a fast food restaurant chain which specializes in fried chicken and is headquartered
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Using an interval‚ predict the credit balance for a customer that has a household size of 5. Interpret this interval. * What can we say about the credit balance for a customer that has a household size of 10? Explain your answer. * Using MINITAB run the multiple regression analysis using the variables INCOME‚ SIZE and YEARS to predict CREDIT BALANCE. State the equation for this multiple regression model. * Perform the Global Test for Utility (F-Test). Explain your conclusion. * Perform
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25 points Instructions: This assignment involves applying various techniques that we have covered throughout the semester using MINITAB 16. You will be using data sets that come with MINITAB 16. Click on the icon “Look in Minitab Sample Data Folder” to access data files. You will see data sets and several folders that contain the data. To receive full credit‚ be sure to include relevant computer output (copy and paste into
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hypothesis if z >1.645 Test Statistics from Minitab: One-Sample Z: Income ($1000) Test of mean = 45‚ < 45 The proposed standard deviation = 14.64 95% Upper Variable N Mean StDev SE Mean Bound Z P Income ($1000) 50 43.48 14.55 2.06 46.86 0.49 0.311 Confidence Intervals from MiniTab: One-Sample Z The assumed standard deviation
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Villanova University Villanova School of Business Department of Economics and Statistics Mat 1430 Business Statistics Dr. Michael W. Varano Spring 2013 Office: Bartley Hall 1008 All Sections Office Hours: TBA (and/or by appointment) Telephone: (610) 519-7799 e-mail: michael.varano@villanova.edu https://elearning.villanova.edu/webct/
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intercept for the regression model for the data (you can double check your results using the minitab output obtained in lab. (2 pts) Summarize your calculations here‚ including the value of the slope and intercept Duration | TimeToNext | yhat | error | slope | y-intercept | 1.7 | 55 | 51.68 | 3.32 | 10.35821 | 33.96676 | 1.7 | 58 | 51.68 | 6.32 | | | 1.7 | 56 | 51.68 | 4.32 | | | Part 2: In Minitab re-run the regression and click on the Storage button and store the residuals and fitted
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scenario: A Business Analyst in the financial investment sector is studying the annual bonus payments made to financial traders. As part of the study 176 financial traders were interviewed and the following sample data was recorded: Sample Data Minitab Column Variable Name Variable Description C1 Bonus Annual bonus (£) paid to trader. C2 Years Number of years experience as a trader. C3 Score Trading competency score – the higher the score the
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08 ETHE AUSTRALIAN NATIONAL UNIVERSITY SCHOOL OF FINANCE AND APPLIED STATISTICS First Semester Examination 2010 QUANTITATIVE RESEARCH METHODS (STAT1008) Writing Period: 3 hours duration Study Period: 15 minutes duration Permitted Material: Non-programmable calculator‚ dictionary and 1 A4 page with notes on both sides Instructions to Candidates: • Attempt ALL questions. • Each question is of equal mark value. • Start your solution to each question on a new page. • To ensure full marks
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Syllabus College of Social Sciences PSY/315 Version 2 Statistical Reasoning in Psychology Copyright © 2010‚ 2009‚ 2006 by University of Phoenix. All rights reserved. Course Description This is an introductory course in applied statistics‚ with particular emphasis in psychology. Both descriptive and inferential statistics are included. In addition‚ this course provides the basic statistical background and understanding needed. Policies Faculty and students/learners will be held responsible for
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Problem N°1 1.Formulate the null and alternative hypotheses. Null Hypothesis: The average (mean) annual income was greater than or equal to $50‚000 H_0: μ≥50000 Alternate Hypothesis: The average (mean) annual income was less than $50‚000. H_a: μ 30 we will use the z-test. As Ha:μ0.40 the‚ test is a right tailed z-test. The critical value for significance level‚ α=0.05 for a right tailed z-test is given in the table as: 1.645. Decision Rule: Reject H_0‚if z>1.645 3. Calculate the test
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