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    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 market Process input process process output CCR’s Output Variation

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    How to Lie with Statistics Book Summary The book How to Lie with Statistics written by Darrell Huff shows you how statistics are used to mislead; sometimes unintentionally‚ other times on purpose. It gives the readers the knowledge necessary to intelligently question and understand the story behind the numbers. In other words‚ it shows the tricks the crooks use‚ so that honest men can use this knowledge for self defense. I think it’s particularly useful for a manager or an executive to read

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    Exam Managerial Statistics

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    B6014 MANAGERIAL STATISTICS Course Description: This course introduces students to basic concepts in probability and statistics of relevance to managerial decision making. Topics include basic data analysis‚ random variables and probability distributions‚ sampling distributions‚ interval estimation‚ hypothesis testing and regression. Numerous examples are chosen from quality-control applications‚ finance‚ marketing and management. Type and Length of Exam: Open book‚ 3 hours‚ calculator such as HP-12C

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    TMTH 3360 APPLIED TECHNICAL STATISTICS Fall 2014 Instructor: Margaret Tellegen Email: Use WEBCT Blackboard Textbook: Introduction to Probability and Statistics 14th Edition by Wm. Mendenhall & R. Beaver‚ Duxbury Press (required) Computer Software –Excel Objectives: Statistics are a part of every day life. We encounter them in evaluating medical treatments‚ picking a retirement plan‚ interpreting political polls‚ and even in sports. In this class we

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    Week 6 Statistics Qnt 561

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    Chapt 10 # 42 H0: game length is >= 3.5 hours Ha: game length is < 3.5 hours mean = 2.9553 stdev = 0.5596 Get the t test statistic: t = (x-mu)/(stdev/sqrt(N)) t = (2.9553-3.5)/(0.5596/sqrt(17)) t = -4.0133 Get the critical value for df = N-1 = 16‚ one tail‚ alpha is 0.05: -1.7459 Since our test statistic is much lower than the critical value‚ we reject the null hypothesis. There is enough evidence to conclude that games are shorter than 3.50 hours. Chapt 11 # 58 The amount

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    evidence to infer that the population mean is not equal to 180. c t x s/ n 175 180 60 / 200 1.18‚ p-value = .2400. There is not enough evidence to infer that the population mean is not equal to 180. 269 d. As the s increases‚ the test statistic increases and the p-value increases. 12.12 H0 : H0 : = 50 50 a Rejection region: t t x s/ n 52 50 15 / 25 t / 2‚n 1 t .05‚24 1.711 or t t / 2‚n 1 t .05‚24 1.711 .67‚ p-value = .5113. There is not enough evidence

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    1) What is the difference between probability distributions and frequency distributions? Provide an example that demonstrates the difference between the two.  A probability distribution directly corresponds to a frequency distribution‚ except that it is based on theory (probability theory)‚ rather than on what is observed in the real world (empirical data). A frequency distribution is based on actual observations. An example would be observing a coin be flipped twenty times. A probability distribution

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    Rebecca Verian 2577648 Context: π 1: There is no significant difference between the mean heights of the singers. π2: The average of heights of high pitched voices is equal. π3: The average of heights of low pitched voices is equal. Conditions: * There are 39 cases. * Based on the graph gotten the average heights of Soprano are 64.25 inches. * The average heights of the Alto singers are 64.88 inches. * The Tenor singers had an average height of 69.15 inches. * The mean

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    MM207 Final Project Name: Eddie S. Jackson 1. Using the MM207 Student Data Set: a) What is the correlation between student cumulative GPA and the number of hours spent on school work each week? Be sure to include the computations or StatCrunch output to support your answer. My answer : 0.27817234 (from StatCrunch): Correlation between Q10 What is your cumulative Grade Point Average at Kaplan University? and Q11 How many hours do you spend on school work each week? is: 0.27817234 b)

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    Key Synthesis/Potential Test Questions (PTQs) • What is statistics? Making an inference about a population from a sample. • What is the logic that allows you to be 95% confident that the confidence interval contains the population parameter? We know from the CLT that sample means are normally distributed around the real population mean (). Any time you have a sample mean within E (margin of error) of then the confidence interval will contain . Since 95% of the sample means are within E

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