com The study notes marketplace Input X Output Y Data Combinations and Tool

Com the study notes marketplace input x output y data

This preview shows page 44 - 47 out of 51 pages. - The study-notes marketplace Input (X) Output (Y) Data Combinations and Tool Sets Output - Y Input - X Graphical Tool Statistical Tool Means Std Dev To be used in conjunction with Hypothesis Roadmap Inputs Levels/ Input Categorical Categorical Categorical Continuous and/ or Categrical Proportion 1 Proportion Stat>B.S.>1 Proportion 2 Proportions Stat>B.S.>2 Proportions ANOM Stat>ANOVA>Analysis of Means Binary Logistic Regression Stat>Regression>Binary Logistic Regression Ordinal Logistic Regression (TOOLMASTER) Stat>Regression>Ordinal Logistic Regression Nominal Logistic Regression (TOOLMASTER) Stat>Regression>Nominal Logistic Regression (Location, Operator, Machine, Day of Week) (Pass vs. Fail, Success vs. Failure; Count of Defects) Chi Square Table Stat>ANOVA>Analysis of Means 1 1 1 2 1 2+ 2 2+ None None 2+ 8 2+ 8 2+ 8 One Sample Two Sample Downloaded by:: bryce0736 | [email protected] Distribution of this document is illegal
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Subscribe to view the full document. - The study-notes marketplace ANSWER: 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 gram b. Independent Variable: New machine – will bring the changes Downloaded by:: bryce0736 | [email protected] Distribution of this document is illegal
Image of page 45 - The study-notes marketplace c. Target Level: 296 grams d. 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 box 5. 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 points 8. Select Appropriate Hypothesis Test: Univariate (when in doubt go with univariate) 9. Test the assumptions: Testing differences; Bell shape symmetrical; Use process Flow Charts; 10. Run the Appropriate Hypothesis Test: Finding that p value = 0,002 11. 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 box 13. Write Conclusion: This machine will give us problems, too much in boxes (not according to legislation) or too little (cheating consumer). CLASS EXERCISE: ANSWER 1. Practical problem: The monthly income needs to be $180 or more. 2. Statistical Problem: a. Dependent variable = The return per month b. Independent variable = The investment scheme c. 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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