this is six signma assignmetn more on statistics side Document Preview: Control (Pp Ppk) Control (XmR Chart) Improve (Scatter Diagram) Improve (DOE) Analyze (ANOVA) Analyze (Chi Square) Analyze (T Test) Analyze (Expected variation) Analyze (Histogram) Measure (Baseline sigma) Define (Project Charter) The project Excel examples Welcome So farso good. The process has been in control for the past four months. see this for the past 35 days of production. or is she going to be more skeptical? That is the question of the day. Lovell Levelers just reported that Specific Motors is a satisfied Crunch the numbersand you will find out. By the wayfinish this deliverable and you are finished with the project. Congratulations!!!! Mean for LENGTH::: Standard deviation for LENGTH::: Mean for WIDTH::: Standard deviation for WIDTH::: Mean for THICKNESS::: Standard deviation for THICKNESS::: Johnson State the alt. hypothesis::: You first need to calculate the expected values. It is best to make a table as step 1. For example, males and females watch various or independent of television station preferences. TV stations. Lets say that we want to find out if gender is dependent a. Probability of viewer being male is 141 / 250 = 0.564 (refer to the cells in the table above) c. Probability of viewer preferring WKBW AND being male is 0.564 x 0.424 = 0.239 the first two for you. c. Probability of viewer preferring WKBW AND being female is 0.436 x 0.424 = 0.185 Repeat this for all six cells. To check your work, the totals (across and down) should add up very close to the (across and and down) totals of the observed values. Here is how your are in [brackets.] Example: For the first cell (Males/WKBW), the formula is: Observed minus [Expected] Squared divided by [Expected] as follows: Step 3. Add those chi-square values and you should get 1.7095 Step 4. Determine the significance level. (e.g., .05 or .01 or .1) upon what level of risk they are willing to Attachments: Manufacturing.xls