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Course Outcomes:

C7ME4-23.1

Analyse an industrial process using X ̅ and R charts, and to determine the process capability.

C7ME4-23.2

 Verify the various sampling distributions (i.e., Normal distribution, Binomial and Poisson distribution) experimentally.

C7ME4-23.3

Construct and interpret control chart for proportion nonconforming (p chart) and control chart for non-conformities (c chart) for a given case.

C7ME4-23.4

  Plot the operating characteristics curve for a given single sampling attribute plan and compare the actual O.C. curve with theoretical O.C. curve.

C7ME4-23.5

Prove the central limit theorem experimentally that sample means for a Normal as well as non-Normal universe follow a Normal distribution.

C7ME4-23.6

Solve and interpret the results of various quality control problems using SPC software (like STATGRAPHICS/MINITAB/SIGMA XL /SYSTAT/EXCEL).

Mapping Matrix of CO's and PO's:

COs

PO 1

PO 2

PO 3

PO 4

PO 5

PO 6

PO 7

PO 8

PO 9

PO 10

PO 11

PO 12

PSO 1

PSO 2

C7ME4-23.1

2

2

-

2

-

-

-

-

3

-

-

-

-

3

C7ME4-23.2

2

2

-

2

-

-

-

-

3

-

-

-

-

3

C7ME4-23.3

2

2

-

2

-

-

-

-

3

-

-

-

-

3

C7ME4-23.4

2

2

-

2

-

-

-

-

3

-

-

-

-

3

C7ME4-23.5

2

2

-

2

-

-

-

-

3

-

-

-

-

3

C7ME4-23.6

2

1

 

2

1

-

 

 

-

 

 

 

 

-

C7ME4-23

2

2

-

2

1

-

-

-

3

-

-

-

-

3

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