Creating histogram

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Reference no: EM13288894

Creating histogram to determine if the data from three 'product parameters' are normally distributed.

The Black Belt team did a pareto analysis of the data and determined that three factors were causing over 95% of the problem with the leveler plates.  Those factors are, the length of the plates, the width of the plates, and the thickness of the plates.

You need to know if the data from these three 'product parameters' are normally distributed.

Instructions for you:

   1.   Construct three (3) histograms for the three data sets.

   2.   Interpret each of the histograms to determine whether the variables are random or normally distributed.

Data:

Length Width Thickness

10.67 7.51 0.551

10.74 7.57 0.546

10.68 7.55 0.546

10.72 7.53 0.554

10.66 7.53 0.546

10.69 7.56 0.542

10.70 7.52 0.545

10.72 7.58 0.538

10.69 7.55 0.552

10.68 7.53 0.547

10.72 7.56 0.546

10.70 7.58 0.545

10.70 7.55 0.546

10.73 7.55 0.548

10.75 7.54 0.546

10.73 7.57 0.543

10.69 7.54 0.548

10.68 7.55 0.545

10.70 7.55 0.553

10.77 7.56 0.539

10.72 7.54 0.549

10.69 7.56 0.541

10.66 7.56 0.543

10.69 7.55 0.545

10.63 7.54 0.549

10.68 7.55 0.546

10.73 7.56 0.545

10.74 7.57 0.540

10.65 7.54 0.541

10.69 7.55 0.545

10.70 7.54 0.547

10.72 7.55 0.543

10.75 7.53 0.545

10.71 7.54 0.546

10.72 7.55 0.547

Upper Spec 11 7.66 0.56

Lower Spec 10.5 7.45 0.54

Target 10.75 7.55 0.55

We are looking for obvious signs of special cause variation.  Try using 6 bins to get a better picture.
Slightly skewed is okay.
Project: Manufacturing
Deliverable: Histogram
Student last name: RiCHARD
Is 'length' normally distributed? Yes or No
Is 'width' normally distributed? Yes or No
Is 'thickness' normally distributed? Yes or No

Reference no: EM13288894

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