**Estimation Theory MBA 1st Year Semester Very Short Question Answer Notes **3 Mock Papers For Self-Assessment Unit-Wise Division Of The Content Knowledge Boosters To Illuminate The Learning Solved Case Studies For Practice Theory Of Estimation, Point Estimation, Interval Estimation. Hypothesis Testing Null And Altenative Hypothesis; Type I And Type Errors; Testing Of Hypothesis; Large Sample Test, Small Sample Test, (T,F,Z Test And Chi-Square Test) Notes.

**Section
A**

**VERY SHORT ANSWER QUESTIONS**

**Estimation Theory MBA 1st Year Semester Very Short Question Answer Notes | Index**

Estimation Theory MBA 1st Year Semester Very Short Question Answer Notes Page.1

Estimation Theory MBA 1st Year Semester Very Short Question Answer Notes Page.2

**MBA Topic Chapter Semester Wise Sample Model Practice Question Answer Papers**

**Q.1.
Explain in short theory of estimation.**

**Ans.** Eastimation theory refers to the technique and methods by which populationparameters are estimated from sample studies. Estimation of the parameter is absolutely essential whenever a sample study is conducted.

** Q.2. What is point estimation?**

**Ans.** Point estimation deals with the task of selecting a
specific sampe var population parameter. This population parameter might be
mean, variance, standard deviation, proportion or any other characteristic of
the population.

**Q.3.
Define the term null hypothesis.**

**Ans.** Where there is no difference between observed and
expected frequencies formed, this hypothesis is called the null-hypothesis.

**Q.4.
Write the four essentials of good sampling. **

**Ans.** The four essentials of good sampling are:

1. Representation of universe,

2. Independence,

3. Adequacy,

4. Homogeneity.

**Q.5. Define the term simple random sampling. **

**Ans.** The sampling technique in which each and every unit of
the universe has an equal opportunity of being included in the sample and every
unit selected in the sample depends purely on chance.

**Q.6.
What is the probability sampling?**

**Ans.** Random sampling is also called as ‘Chance sampling’ or
‘Probability sampling. In this method of sampling, all units of the sample are
selected by chance because each unit of the universe has an equal chance of
being included in the sample.

**Q.7.
Write the three methods of random selection. **

**Ans.** The three methods of random selection are:

1. Lottery method,

2. By rotating the drum,

3. Random numbers.

**Q.8. Write the two merits and demerits of simple random sampling.**

**Ans.
Merits:** The two merits are:

1. Real representation of universe.

2. Measurement of sampling error.

**Demerits:** The two demerits are:

1. Problem of complete and up-to-date information.

2. Problem in field surveys.

**Q.9.
Define the term restricted random sampling.**

**Ans.** If random sampling is used with certain conditions or
restrictions, it is called restricted random sampling.

**Q.10. Describe the three methods of
stratified random sampling. **

**Ans.** The three methods of stratified random sampling are:

1. Proportional stratified sampling.

2. Non-proportional stratified sampling.

3. Stratified weighted sampling.

**Q.11.
Write the four merits of stratified random sampling. **

**Ans.** The four merits of stratified random sampling are as
follows:

1. More representative,

2. Administrative convenience,

3. Suitable in heterogenous units,

4. Difference in sampling problem:

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