## Guide to Quality Control |

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Page 76

All points lie within the control limits, and 2. ... We would therefore know that an

abnormality has developed if a) Some points are outside the control limits (

including points on the limit lines), or b) ... The

called the ...

All points lie within the control limits, and 2. ... We would therefore know that an

abnormality has developed if a) Some points are outside the control limits (

including points on the limit lines), or b) ... The

**number of points**in that run iscalled the ...

Page 94

Count the points in each area (table 9.4). Table 9.4 Points in each area Area

Points (I) 19 (II) 4 (III) 20 (IV) 5 On the line 2 Total 50 3) Find the

for II and IV and N (total number of data minus

Count the points in each area (table 9.4). Table 9.4 Points in each area Area

Points (I) 19 (II) 4 (III) 20 (IV) 5 On the line 2 Total 50 3) Find the

**number of points**for II and IV and N (total number of data minus

**number of points**on the line).Page 104

If there is a significant correlation, determine the correlation coefficient. Step 1.

Draw horizontal and vertical median lines on the scatter diagram so that there are

equal

If there is a significant correlation, determine the correlation coefficient. Step 1.

Draw horizontal and vertical median lines on the scatter diagram so that there are

equal

**numbers of points**on the left and right sides, and equal**numbers of points**...### What people are saying - Write a review

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### Common terms and phrases

abnormality action actual survey points actual survey triangle bar graph basis binomial probability paper cause-and-effect diagram causes changes chapter check sheet CM CM Coil plant collecting data Compute Condenser control chart control limit lines control lines correlation data sheet defective items determine dispersion effect example factory fraction defective frequency distribution table HH HH HH histogram improper rotation improvement inspection level Kaoru Ishikawa machine mean value measurement median line method moisture content necessary normal inspection number of data number of defectives number of points obtained Pareto diagram percentage pie charts Pilot lamp plotted practice problems production process Purchasing section QC Circle quality characteristics quality control random sampling Re|Ac reduced inspection rejected relationship represent scale scatter diagram shown in figure shows single sampling inspection standard deviation Step stratified total number Upper control limit Vacuum tube vertical axis workers x-R control charts