Coming soon
Practical
This paper is designed so that the student get familiar with statistical software for solving the statistical problems based various control charts for equal and unequal sample sizes.
Students will be able to:
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Course |
Learning outcomes (at course level |
Learning and teaching strategies |
Assessment Strategies |
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Paper Code |
Paper Title |
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DSTT 502(B) |
Practical |
CO 56: students will be able to design and implement attribute control charts, including np, p, and c-charts, for equal and unequal sample sizes, and interpret the graphical representation of control limits and out-of-control signals.
CO 57: students will be able to use X, R, p, np, and c-charts to monitor and control process variability, and construct 3 sigma control limits for process control charts.
CO 58: students will be able to design and implement effective acceptance sampling plans, including single sampling plans, and evaluate their performance using OC, AQL, LTPD, AOQL, ASN, and ATI functions.
CO 59: students will be able to apply a range of quality control techniques, including statistical process control, acceptance sampling, and attribute control charts, to monitor and control product and process quality, and make informed decisions based on statistical data. |
Approach in teaching:
Interactive Lectures, Group Discussion, Classroom Assignment Problem Solving Sessions
Learning activities for the students:
Assignments Seminar Presentation Subject based Activities
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Classroom Quiz Assignments Class Test Individual Presentation
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Control Charts:
- X, R chart.
- p and np - chart for equal & unequal sample sizes.
- c-chart.
- np, p chart
- c chart
- Single sampling plan their OC, AQL, LTPD, AOQL, ASN, ATI functions with graphical interpretation.
- Construction of 3 Sigma control limits.
- One project based on statistical analysis of primary/secondary data collected by students,
Note: Practical exercises will be conducted on the computer by using MS-Excel
