## ANU UC B.Sc 5th Sem Quality and Reliability Important Questions

ANU B.Sc 5th Sem Quality and Reliability Important Questions are now available. Acharya Nagarjuna University B.Sc statistics 6th paper important questions and previous year paper questions. Get all ANU UPDATES on facebook at www.facebook.com/anuupdates

These questions are prepared by experienced faculty of ANU FAST UPDATES team. By preparing these questions you can get 100% pass and have chance to get good marks in your examination.

UNIT-I (Importance of SQC in Industry)

10 Marks questions

1. What do you understand by SQC? Explain its importance in industry.[ANU-17]
2. Discuss the importance of  SQC in industry and also define process control and product control.[ANU-18,19]
3. Explain the statistical basis of control charts and discuss their interpretation.
4. Explain in brief shewart control charts.
5. Distinguish between natural tolerance limits and specification limits.[ANU-17]
6. Explain the natural tolerance limits and specification limits.
7. Discuss basic principles underlying control charts. What is process capability? Explain.[ANU-18,19]
8. what do you understand by SQC? Discuss briefly its need and its utility in industry.

5 Marks Questions

1.  Discuss the causes of variation in quality. What are the uses of control charts.[ANU-17]
2. What are specification limits? Give their interpretation.
3. Explain the statistical quality control.
4. Explain the specification limits.
5. Explain the statistical basis of control charts.[ANU-17]
6. Explain 3σ control limits.
7. Explain the process control and product control.
8. what the advantages of Shewart's control charts?
9. Explain the concept of six sigma.
10. Explain the importance of normal distribution in SQC.
11. How SQC play in manufacturing the quality of product? [ANU-19]
12. Explain natural tolerance limits.[ANU-19]
13. Explain the construction and uses of np-chart.

UNIT-II ( Variable control chart)

10 Marks questions

1. Explain the construction of R-Chart and σ-Charts?
2. Explain the control chart for the number of defects.
3. Explain the construction of P-Chart and C-Chart and discuss their interpretation.[ANU-19]
4. Explain the construction of mean and standard deviation chart and discuss their interpretation.
5. Explain how to construct control charts of variables.[ANU-19]
6. Explain the construction of number of defective and fraction of defectives control charts.
7. The following data shows the number of defectives in 20 lost. Each lot containing 2000 units. Draw a control chart for the number of defectives and examine the nature if the production process: 250,230,350,406,397,268,350,447,430,300,353,296,150,190,220,130,320,250.
8. Explain the mean and range chart.
9. What are the charts for attributes? Explain the p, np charts.
10. Explain the construction of X(Bar) and R-Charts.[ANU-18,17]
11. What are control chart? How do you construct p and np charts.[ANU-18,17]

5 Marks Questions

1. What are the limitations of the control charts?
2. Distinguish between variable and attribute charts.
3. Explain NP-Chart.[ANU-19]
4. Write applications of C-Chart.
5. Define control chart. Explain the components and of control charts for attributes.
6. Explain the S.D chart.

UNIT-III ( Acceptance sampling plans)

10 Marks Questions

1. Explain the scope of acceptance sampling plans.[ANU-17,18,19]
2. Explain (i) consumer's risk (ii) producer's risk (iii) AQL and (iv) LTPD [ANU-17,18]
3. Explain the situation where 100% inspection is needed. Explain the need for sampling inspection plan.
4. Explain the concept of A.Q.I and L.T.P.D
5. Explain producer's risk and consumer's risk in acceptance sampling.
7. Explain acceptance sampling plan. What are the advantages of acceptance sampling plan. what is meant  of process and product control.
8.  Explain the concept of acceptance sampling plans and write its applications.

5 Marks Questions

1. What do you understand by acceptance sampling procedure? what are its uses? [ANU-19]
2. Explain consumer risk.
3. What do you understand by acceptance sampling plans? what are its uses?[ANU-17]
4. Define the term Acceptance Quality Level(AQL).
5. What is meant by product control.
6. Define the characteristics of a good sampling plan.

UNIT-IV (Sampling Plans)

10 Marks Questions

1. Explain single sampling plan. Obtain its OC and ASN functions.[ANU-18,17]
2. Explain double sampling plan. Obtain its OC and ASN functions.[ANU-17]
3. Explain double sampling plan. Obtain its OC, ASN and ATI functions for double sampling plan for attributes.
4. Define single and double sampling plans and distinguish between single and double sampling.[ANU-18]
5. Using binomial distribution. Explain single and double sampling for attributes and merits and demerits of single and double sampling plan.[ANU-19,18]
6. Define a single sampling plan. Explain its construction and interpretation.
7. Define a single sampling plan and explain their construction by using hyper geometric distribution .
8. Define a double sampling plan and draw a flow diagram to construct it.

5 Marks Questions

1. Explain A.S.N? why is it calculated?
2. Explain OC curves.
3. write a nite on double sampling plans.
4. Discuss the merits and demerits of single and double sampling plans.[ANU-17]

UNIT-V (reliability)

10 Marks Questions

1. Explain (i) failure notes (ii) hazard function and (iii) reliability. Sate and prove memory less property of exponential distribution.[ANU-17]
2. Obtain the reliability estimate of exponential distribution.
3. Find the reliability function in case of (i) series-parallel (ii) parallel-series system.
4. Explain exponential distribution as life model and give its memory less property.
5. Obtain reliability in terms of hazard rate and failure density.[ANU17]
6. State and prove memoeryless property of exponential distribution. Obtain the estimate the reliability in the case of exponential failure model.[ANU-17]
7. Explain the different modes of failure with help of both tub curve.[ANU-19]
8. Describe exponential distribution as life model.
9. Define Reliability. Explain the importance of hazard function in a computation of failure rate.
10. Explain the lack of memory property of exponential in the light of reliability theory.[ANU-18
11. Define Hazard. Explain the lack of memory property of exponential distribution.[ANU-19]
12. Obtain the reliability estimate of exponential distribution. Also explain reliability function of give given estimation.[ANU-18]

5 Marks Questions

1. Explain the importance of life test in reliability theory.[ANU-18]
2. Explain k-out of n system and also find its reliability function.
3. Explain the meaning and concept of reliability.
4. Explain the importance of exponential distribution in reliability theory.[ANU-17]
5. Explain Failure Notes.[ANU-19]

## ANU UG B.Sc 5th Sem Sampling Techniques and Design of Experiments Important Questions

Acharya Nagarjuna University Degree statics 5th Paper important questions are now available, the candidates who are looking for important questions can check from below. These questions are prepared by the Top ANU FAST UPDATES teach who have good teaching experience.

UNIT-I (Sampling Theory)

10 Marks Questions:

1. Explain the principle steps in a sample survey.[ANU-17,19]
2. What are sampling and non-sampling errors? Describe the sources of  non-sampling errors.
3. What are sampling and non-sampling errors? Distinguish between probability and non-probability sampling methods.[ANU-17]
4. What are the types of sampling techniques and explain.[ANU-19]
5. What are the main steps involved in a sample theory. Discuss them briefly.
6. Explain the sources of errors in a sample survey and describe how there can be controlled.[ANU-18]
7.  Explain sampling and describe censuses versus sampling survey. Also write advantages and disadvantages of sampling over census.[ANU-18]
8. write the procedure of draw random samples from binomial population by using random numbers.

5 Marks question

1. In what respects sample survey is superior to a census survey? (OR)
2. What are the advantages of sampling over census.[ANU-17,18,19]
3. Explain purpossive sampling. What are its merits and demerits?[ANU-17]
4. Define population and types of population.
5. What are the requirements of a good sample.
6. Explain the methods of drawing a simple random sample.[ANU-17,18]
7. What are the reason for sampling biases.
8. Define random sampling. why is it preferred to other methods of selection of sample.
9. What are the advantages and limitations of sampling?
10. Explain the term i) sample unit ii) Statistics iii) Parameters iv) population v) sampling distribution
11. Explain the method of estimating stratified random sampling.
12. Explain the concept of complete census.
13. Explain the role of sampling frame in conducting  a sample survey.
14. Explain the sources of errors in a sample survey.[ANU-19]
15. Explain the method of simple random sampling. Show that sample mean is an unbiased estimator of population mean.

UNIT-II (Simple Random Sampling)

10 Marks questions

1. With usual notation, show that V(yn)=(1-f)s2/n in SRSWOR.
2. In SRSWOR show that E(S2)=σ2.
3. In SRSWOR show that E(S2)=S2.
4. Describe the methods of selection of a simple random sample.[ANU-18]
5. Prove that V(yn)=N-n/N.S2/n
6. In simple random sampling without replacement, Show that the variance of  sample mean is given by V(yn)=N-n/N.S2/n [ANU-19]
7. In simple random sampling without replacement, derive its standard error.[ANU-19]
8. Explain the SRSWOR and SRSWR and also discuss the selection procedure for  obtaining a simple random sample by lottery method.
9. Explain random number techniques for obtaining a SRS.
10. In SRSWOR, Show that sample mean is an unbiased estimate of population mean. Derive its standard error.
11. In SRSWOR, Show that sample mean square is an unbiased estimate of population mean.
12. Explain the method of SRS. Also obtain variance of sampling in case of SRSWOR.[ANU-18]
13. Explain simple random sampling. Describe the methods of drawing an SRS.
14. In SRSWOR, the variance of the sample mean is given by Var(yn)=Sv/n(N-n/N)
15. Derive an expression to find the variance of sample means in SRSWR. Also compare the variance in SRSWOR and SRSWR.
16. Define simple random sampling. Explain the merits and demerits of a simple random sampling.
17. Obtain an unbiased estimation of population mean SRSWOR.[ANU-17]
18. In SRSWOR obtain the variance of the sample means.[ANU-17]

5 Marks Questions

1. In SRSWR obtain variance of sample mean.
3. Distinguish between SRSWOR and SRSWR.[ANU-18]
4. Show that E(yst)=YN
5. Obtain the expression for Var(Yst).
6. Find the variance of the mean of SRS from a finite population.
7.  what are the Random number tables and their uses.
8. In SRSWOR, Show that sample mean square coefficient is an unbiased estimate of population mean.
9. Explain simple random sampling (a) With Replacement b) without replacement with suitable examples.

UNIT-III ( Stratified random sampling and Systematic sampling)

10 Marks Questions

1. Explain stratified random sampling with proportional and optimum allocation. Obtain the variances of the estimated mean in proportional and optimum allocation.
2. In the usual notation prove that V(yst)<=V(Ysys)r<=V(Yn)R [ANU-17,19]
3. Show that V(Yst)Ney<=V(Yst)Prop<=V(Yn)Ran
5. In Neyman's optimum allocation, show that ni ∝NiSi [ANU-19]
6. In the usual notation show that V(Yst)p>=V(Yst)N [ANU-17]
7. Define stratified random sampling, explain the need of stratification.
8.  what is stratified random sampling? Discuss and proportional allocation in stratified random sampling.
9. Obtain the variance of the estimated mean in stratified random sampling with proportional and optimum allocations.
10. Compare the variance in simple, stratified and systematic random sampling methods.

5 Marks Questions

1. Explain stratified random sampling.  Give any four of its applications.
3. Derive the variance of stratified random sampling.
4. Explain the concept of systematic sampling.
5. Explain stratified random sampling. What are it's merits and demerits?[ANU-17]
6. Explain proportional  allocation.
7. Explain the need for stratification.[ANU-19]
8. what are the advantages of stratified sampling over simple random sampling?
9. How do you estimate population mean in proportional allocation?[ANU-18]
10. Explain Cochran's theorem.[ANU-18]

UNIT-III (Analysis of Variance)

10 Marks Questions

1. Define ANOVA  one way classification. write the statistical analysis of ANOVA one way classification.
2. Explain principles of design of experiments.
3. Explain the statistical analysis of two way classification.[ANU-18]
4. Explain the statistical analysis of one way classification.[ANU-19]
5. Explain the method of estimating of parameter in ANOVA two way classification.
6. Explain the method of estimating of parameter in ANOVA one way classification.
7. Explain the ANOVA one-way classification
8. Explain the statistical analysis of one-way analysis of variance with unequal classification.[ANU-18].
9. Explain the statistical analysis of one-way analysis of variance with equal classification
10. what is the differences between " Variability within classes" and " Variability between classes"? Explain with suitable examples.
12. Explain in brief about the ANOVA for two-way classification data with  single observation per cell.
13. Explain the mathematical model of one-way ANOVA. Obtain the expectations of various sums of squares.[ANU-17]
14. Explain the mathematical model of two-way ANOVA. Obtain the expectations of various sums of squares.[ANU-17]

5 Marks Questions

1. Define ANOVA with assumptions.
2. Explain the necessity of ANOVA.
3. Define ANOVA. Bring out the main differences between analysis for one-way and two-way classification data.[ANU-18]

UNIT-V (design of experiments)

10 Marks Questions

1. Explain the statistical analysis of R.B.D with one missing observation.[ANU-17]
2. Explain the statistical analysis of L.S.D . Obtain the relative efficiency of LSD over CRD.
3. Derive the efficiency of a LSD as compared to a CRD.
4. Explain L.S.D. Explain its analysis.[ANU-17]
5. Explain the principle of an experimental design.[ANU-18]
6. Discuss the efficiency of RBD and CRD and that of LSD over RBD and CRD.[ANU-19,18]
7. Explain the analysis of Randomized Block design.[ANU-19]
8. Explain missing plot technique in LSD.
9. Explain layout of RBD and its statistical analysis.

5 Marks Questions

1. Explain the principles of experimental designs.[ANU-17]
2. Explain the concept of factorial experiment and its advantages.[ANU-17]

## ANU UG / Degree B.Sc 5th Sem Database Management System(DBMS) Imporant Questions

ANU B.Sc 5th Sem database management systems important questions for 5 units are available. You can get good marks by preparing these questions. The question papers consists of  8 questions and you need to answer any five questions. Each question carries 15 Marks. nagarjuna university B.Sc important questions for DBMS.

#### What are the expected Questions from each unit.

According to the model paper placed on the official nagarjuna university website, you can get single question from each unit compulsory. But as per our expectations the following choice is followed.

UNIT-I ------- 2 Question

UNIT-II ----- 2 Question

UNIT-III ----- 1 Questions

UNIT-IV ---- 1 Questions

UNIT-V ----  2 Question

You Might Also Like:  ANU B.Sc 5th Sem Model questions papers for all subjects click here

UNIT-I ( Overview of Database Management Systems)

1. What is DBMS? Write the Evaluation and Objects of DBMS.
2. Explain classification of Database Management Systems.
3. Write about a) Database b) Database Management systems.
4. What is File Base system? What are its drawbacks? Explain.
6. Explain Levels of abstraction (ANSI / SPARK Model).
7. What is data Model? Explain different types of data model in detail.
8. Explain different types of database architecture.
9. What are the various components of Database system? Explain.
10. Explain about a) Situation where DBMS is not necessary b) DBMS vendors and Their Products.

UNIT-III ( Entity Relationship Model)

1. What is ER-Modeling? Explain basic building block of ER-Modeling.
3. Explain different types of entity sets and attributes in ER-Modeling.
4. What is relationship? Explain about relation ship degree and types of relations.
5. Explain procedure of reducing ER diagram to tables.
6. Explain IS A relationship, attribute inheritance and multiple inheritance.
7. What is EER Model? Explain generalization and specialization.
8. What is EER Model? Explain aggregation and composition.

UNIT-IV (Relational Model)

1. what is relational model? Write about key features of relational model.
2. Explain about E.F.Codd's Relational database rules.
3. What is Key? Explain about various types of keys.
4. Explain different integrity constraints.
5. Explain various relational algebra operations.
6. Explain tuple relational calculus and domain relational calculus.

UNIT-IV ( Structured Query Language)

1. What is SQL? Explain different types of commands and data types in SQL
2. Explain different DDL and DML commands in SQL with syntax and examples.
3. Explain selection and projection operations with examples.
4. What are different aggregate functions in SQL? Explain with syntax and examples.
5. Explain about table modification and truncation commands in SQL.
6. What is constraint? Explain different types of constraints specified in SQL Queries.
7. Explain different types of Join and set operators in SQL.
8. What is View / Virtual table? Explain various view operations? Also mention advantages and disadvantages of it.
9. Write about a) Embedded Query b) Sub query.

UNIT-V ( Procedural / Structured Query Language)

1. Explain the basic structure of PL/SQL Program and Write steps to create PL/SQL Program.
2. Explain various types of data types  and operators precedence in PL/SQL.
3. Explain various control structures in PL/SQL.
4. What are cursors and Functions? How to create them? Explain.
5. Explain procedure and Packages.
6. Explain exception haling mechanism in PL/SQL.
7. What is trigger? Explain different types of triggers in PL/SQL.

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