PO010601 Engineering Statistics & Quality Control B.Tech Model Question Paper : mgu.ac.in

Name of the University : Mahatma Gandhi University
Department : Polymer Engineering
Degree : B.Tech
Subject Code/Name : PO 010 601/Engineering Statistics And Quality Control
Sem : VI
Website : mgu.ac.in
Document Type : Model Question Paper

Download Model/Sample Question Paper : https://www.pdfquestion.in/uploads/mgu.ac.in/5147-PO%20601.doc

Engineering Statistics & Quality Control :

B.TECH Degree Examination :
Sixth Semester :
B.Tech Polymer Engineering

Related : MGU PO010805G01 Fibre Technology B.Tech Model Question Paper : www.pdfquestion.in/4994.html

PO 010 601/Engineering Statistics And Quality Control :
Time: 3 Hours
Maximum: 100 marks
Part A :
(Answer all questions)
(Each carries 3 marks)
1. Discuss Type I Error and Type II Error in hypothesis testing
2. Explain process control and product control
3. What are NP-Chart and U-Chart
4. Distinguish between consumer’s risk and producer’s risk
5. Distinguish between MTTF and MTBF (5×3=15)

Part-B :
(Answer all questions)
(Each question carries 5 marks)
6. a) Explain Null hypothesis, Simple hypothesis
b) Describe a procedure for testing equality of variances of two normal populations
7. Describe the construction of mean chart
8. How will you prepare the control charts for fraction defectives?
9. Write a note on AOQ and AQL
10. Define the following terms
a)Reliability b)Maintainability c)Availability (5×5=25)

Part-C :
(Answer all questions choosing either a or b)
11.(a) i) Differentiate one tail and two tail test
ii) In a sample of 1000 people in a state, 540 are rice eaters and the rest are wheat eaters. Can we assume that both rice and wheat eaters are equally popular in this state at 1% LOS
iii) Give the use of F distribution in testing (3+6+3=12)
Or

(b) (i) Explain the method of constructing CI for the SD of a normal population.A rs of size 11 from a normal population is found to have variance 12.3.Find 95%CI for the population variance

(ii) Ten individuals are chosen at random from a normal population and their heights in inches are found to be 63,63,66,67,68,69,70,70,71 and 71 inches.In the light of this data,discuss the suggestion that the mean height of the population is 66 inches. (6+6=12)

12 (a) .The following are missing rivets noted at an aircraft inspectin
Plan No : 1 2 3 4 5 6 7 8 9 10 11 12
Missing rivets: 8 16 14 19 11 15 8 11 21 12 13 6
Set up a C-chart and check whether the process is under control (12)
Or

(b) (i) What are the limitations of control charts for variables?
(ii) How do you compare P-chart with mean chart and R-chart? (6+6=12)

13. (a) What do you understand by acceptance sampling plan? (12)
Or
(b) Explain Double sampling plan with an example (12)

14(a) Construct an OC curve for the following attributes single sampling plan
(i) n=20, c=1
(ii) n=60, c=2 (12)
Or
(b) A single sampling plan is given as N=10,000,n=100 and c=2.Compute the approximatsse probability of acceptance of lots with 1% defective (Use Poisson).Determine the AOQ value for the above lots.What will be the inspection in per cent?((Assume acceptance/rectification plan). (12)

15. (a) Write notes on
(i) Bath tube curve,
(ii)Reliability tests (6+6=12)
Or
(b) Explain how should the reliability of a component constituting a system be improved? (12) (12×5=60)

Syllabus :
PO010 601 : Engineering Statistics & Quality Control
Module 1 : (8 hours)
Population and sampling, large and small samples, random sampling, stratified sampling, estimating the mean and variance, confidence intervals, choice of sample size for estimation. Testing of hypotheses for large samples, means, proportions, difference of means and standard deviations.

Testing of hypothesis for small samples, t-distribution, test of hypothesis for mean, difference of means, test for paired data, F-distribution, f-tests and properties, contingency table, χ2 distribution, goodness of fit and independence of attributes

Module 2 : (12 hours)
Meaning of quality, variables and attributes data, benefits of control charts, control charts for variables, check list for X and R charts, calculation of 3-sigma limits for X, control charts for range, OC curve for X chart, OC curve for R chart, average run length (ARL) for the X chart

Module 3 : (15 hours)
Control charts for fraction rejected, control chart for attributes, control limit for the p-chart, control chart for non-conformities, c-chart in statistical process control, applications of cchart, limits for c-chart, Q-chart for quality scores, D-chart for demerit classification

Module 4 : (15 hours)
Acceptance sample, types of acceptance, sampling plans, determination of probability of acceptance by these sampling plans, sampling risks, design of sampling for stipulated producers risk and consumers risk.

Concepts of AQL, LTPD, AOQL in sampling, QC curves, construction, standard sampling plans, MIL, STD, LOSD, plan, Dodge-Roming (D-R) sampling plans, continuous and sequential sampling plans.