Exam Details

Subject statistical quality control
Paper
Exam / Course m.sc. (statistics)
Department
Organization acharya nagarjuna university-distance education
Position
Exam Date May, 2018
City, State new delhi, new delhi


Question Paper

Total No. of Questions 10] [Total No. of Pages 01
M.Sc. DEGREE EXAMINATION, MAY 2018
Second Year
STATISTICS
Statistical Quality Control
Time 3 Hours Maximum Marks :70
Answer any five questions.
All questions carry equal marks.
Q1) Explain the role and importance of statistical quality control in industry.
Explain control charts for variables. Write the LCL, UCL for X R charts.
Q2) Explain OC and ARL curves for X chart. Explain their usage.
Explain about mid range control chart and standard deviation chart.
Q3) Derive ARL of a CUSUM chart.
Write the procedure of constructing np chart.
Q4) Write a note on natural tolerance limits and specification limits.
Write the procedure of C-chart with fixed and varying sample sizes.
Q5) Explain EWMA control charts. Also explain its applications.
Discuss the analysis of mean for variable data for two factor analysis.
Q6) What is multivariate quality for control charts? Explain any one of technique.
Discuss the ANOM for X -chart and P-chart.
Q7) Explain the concepts
producer's risk
ii) consumer's risk with examples.
Discuss the method of sequential sampling plans for attributes.
Q8) Differentiate between single sampling plan and double sampling plan. Also
derive OC and ASN functions for single sampling plan.
Write the procedure of Dodge and Roaming plans.
Q9) Explain the approaches of variable sampling plans with a specified OC curve.
Also describe MIL-STD 1235 b.
What is 6σ concept? Explain it's uses. Also write the principles of total
quality management.
Q10)a) Explain the role of CSP-2 and CSP-3.
Explain continious sampling plans in brief.


Other Question Papers

Subjects

  • design of experiments
  • econometrics
  • multivariate analysis
  • operations research
  • probability and distribution theory
  • sampling theory
  • statistical inference
  • statistical quality control