Stuvia.com - The study-notes marketplaceInput (X) Output (Y) Data Combinations and Tool SetsOutput - YInput - XGraphical ToolStatistical ToolMeansStd DevTo be used in conjunction with Hypothesis RoadmapInputsLevels/InputCategoricalCategoricalCategoricalContinuous and/or CategricalProportion1 ProportionStat>B.S.>1 Proportion2 ProportionsStat>B.S.>2 ProportionsANOMStat>ANOVA>Analysis of MeansBinary Logistic RegressionStat>Regression>Binary Logistic RegressionOrdinal Logistic Regression (TOOLMASTER)Stat>Regression>Ordinal Logistic RegressionNominal Logistic Regression (TOOLMASTER)Stat>Regression>Nominal Logistic Regression(Location, Operator,Machine, Day ofWeek)(Pass vs. Fail,Success vs. Failure;Count of Defects)Chi Square TableStat>ANOVA>Analysis of Means111212+22+NoneNone2+82+82+8One SampleTwo SampleDownloaded by:: bryce0736 | [email protected]Distribution of this document is illegal
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Stuvia.com - The study-notes marketplaceANSWER:1.Practical problem:There is a huge demand and the production is too slow – need to install a new machine. The new machine packs quicker but does it keeps up with the 296-train capacity?2.Statistical Problem: a.Dependent Variable: Rice Crispys by the gramb.Independent Variable: New machine – will bring the changes Downloaded by:: bryce0736 | [email protected]Distribution of this document is illegal
Stuvia.com - The study-notes marketplacec.Target Level: 296 gramsd.Test if the average weight per box is in line with the legislation 3.Null Hypothesis [Ho]: The mean of the new machine = 296 grams per box (must comply with the standard of legislation) 4.Alternative Hypothesis [Ha]:The mean is not = 296 grams per box5.Select Alpha:1% (Opposite of Confidence, Therefore Confidence =99%)6.Select Beta:20% (not specified and select our self (always choose 20%))7.Determine Sample Size:12 sample points8.Select Appropriate Hypothesis Test:Univariate (when in doubt gowith univariate)9.Test the assumptions: Testing differences; Bell shape symmetrical; Use process Flow Charts; 10.Run the Appropriate Hypothesis Test: Finding that p value = 0,00211.Interpret the Statistical Finding:[If p is low Ho must go] Therefore 0,002¿0,01 Therefore reject Ho and accept Ha. 12.Interpret the Practical Results: The new machine does not equal 296 grams per box13.Write Conclusion:This machine will give us problems, too much in boxes (not according to legislation) or too little (cheatingconsumer). CLASS EXERCISE: ANSWER1.Practical problem:The monthly income needs to be $180 or more.2.Statistical Problem:a.Dependent variable = The return per monthb.Independent variable = The investment schemec.If there is a difference between the actual $ that I get back monthly and the expected value ($180).3.Null Hypothesis [Ho]: The average monthly income = $180[μ=$180]4.Alternative Hypothesis [Ha]:The average monthly income is less than $180 [μ<180→ pro blem¿OR the average monthly income is more than $180 [μ>180→opportunity]5.Select Alpha:5% (Opposite of Confidence, Therefore Confidence =95%) (not specified and select our self (always choose 5%))6.Select Beta:
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