CIS 3300 Assigned Minitab Case Problems Minitab Case Problem Set #1 Case 2.1: Server Downtime Case 3.4: AJ’s Fitness Center Minitab Case Problem Set #2 Case 8.2: Federal Aviation Administration Case 9.2: Wings of Fire Minitab Case Problem Set #3 Case 13.1 American Oil Company Housing Market Case Study (see attached) Minitab Case “Second Chance” Problem Set Case 6.2: Credit Data‚ Inc Case 16.2: The St. Louis Companies Students are to hand in the following items for
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claims equal to $50‚000 and the alternative hypothesis claims less than $50‚000. The significance level is α 0.05= -1.645. According to Course Project data‚ when I generate the data of income in Minitab‚ I found the standard deviation‚ which is 14.64. Then next step is calculating the z-value by Minitab‚ which is -3.02. Consequently; z-value < α 0.05 -3.020.4 The hypothesis test claims that the true population proportion of customers who live in urban area is greater than %40. H0 claims
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Statistics – Lab Week 4 Name: MATH221 Statistical Concepts: * Probability * Binomial Probability Distribution Calculating Binomial Probabilities * Open a new MINITAB worksheet. * We are interested in a binomial experiment with 10 trials. First‚ we will make the probability of a success ¼. Use MINITAB to calculate the probabilities for this distribution. In column C1 enter the word ‘success’ as the variable name (in the shaded cell above row 1. Now in that same column‚ enter
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Manaf Zargoush E-mail: zargoush@gmail.com Office Hours to be announced Course Materials Business Statistics: A Second Course. Second Custom Edition for McGill University‚ Pearson Custom Publishing‚ 2010. A copy of the student edition of Minitab is included with the text. The text is available for purchase from Paragraphe Bookstore‚ 2220 McGill College Avenue Note on the text In addition to material chosen from the texts A Second Course in Statistics: Regression Analysis by Mendenhall
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hypothesis is Ha: µ <50‚000‚ the given test is a one-sided z-test. Critical Value and Decision Rule:The critical value for significance level‚ α=0.05 for a left -sided z-test = -1.645. Decision Rule: Reject H₀‚ if z-test> -1.645 Test Statistic - Minitab One-Sample Z: Income ($1000)Test of mu = 50 vs< 50 The assumed standard deviation = 14.64 95% Upper N Mean SE Mean Bound Z P 50 43.74 2.07 47.15 -3.02 0.001 Interpretation of Results and Conclusion: Since the P-value (0.001) is
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December 2006 and the estimate in part (2) to make a case for or against excess stormrelated sales. Appendix 18.1 Forecasting with Minitab In this appendix we show how Minitab can be used to develop forecasts using three forecasting methods: moving averages‚ exponential smoothing‚ and trend projection. Moving Averages CD file Gasoline To show how Minitab can be used to develop forecasts using the moving averages method‚ we will develop a forecast for the gasoline sales time series in
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array‚ the results were interpreted using Minitab. The corresponding Means and Signal to Noise ratio were found and plotted in Minitab. ANOVA tables were also made in Minitab to see which factors affect the results more and which ones can be seen as just an error. From the signal to ratio plots I was able to determine which combination would give me optimal results. Using the contour plots of my 4 factors vs. SNR‚ and using the predict tool found in Minitab I was able to predict where my tennis ball
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Fall 2014 Syllabus MATH201 Introduction to Statistical Methods I Sections: 10‚ 11‚ 12‚ 14‚ 15 (3 Credits) Course Instructors: SECTIONS: Instructor Office Office Hours Phone Email 10‚14‚15 SECTIONS: Instructor Bryan Crissinger 409 Ewing MWF 10 – 12‚ or by appointment 302-831-8142 crissing@math.udel.edu Office Office Hours Phone Email 11‚12 Elizabeth Leavy To Be Announced To Be Announced To Be Announced To Be Announced Lecture Times - (Required) Section
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changes each session and IS NOT the same used in prior sessions. • For each of the five variables‚ process‚ organize‚ present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use MINITAB as much as possible‚ explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram‚ frequency/relative frequency table‚ histogram‚ boxplot‚ dotplot‚ pie chart‚ bar graph. Caution: not all of these are
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Project Part C Summary Report Management at the A. J. Davis company wishes the business to retain a competitive edge in the marketplace; ergo‚ they had statistical data collected regarding a selection of their customers who carry credit with the corporation. Based upon studies conducted on this data‚ it can be stated with a high degree of confidence that relationships do exist between certain discreet portions of the information gathered. Household Size vs. Credit Balances Predictably‚ the
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