IGNOU MST 20 SOLVED ASSIGNMENT
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MST 20: Survey Sampling and Design of Experiments
| Title Name | IGNOU MST 20 SOLVED ASSIGNMENT |
|---|---|
| Type | Soft Copy (E-Assignment) .pdf |
| University | IGNOU |
| Degree | MASTER DEGREE PROGRAMMES |
| Course Code | MSCAST |
| Course Name | M.Sc. (Applied Statistics) |
| Subject Code | MST 20 |
| Subject Name | Survey Sampling and Design of Experiments |
| Year | 2025 |
| Session | - |
| Language | English Medium |
| Assignment Code | MST 20/Assignment-1/2025 |
| Product Description | Assignment of MSCAST (M.Sc. (Applied Statistics)) 2025. Latest MST 020 2026 Solved Assignment Solutions |
| Last Date of IGNOU Assignment Submission | Last Date of Submission of IGNOU BEGC-131 (BAG) 2025-26 Assignment is for January 2026 Session: 30th September, 2026 (for December 2025 Term End Exam). Semester Wise January 2025 Session: 30th March, 2026 (for June 2026 Term End Exam). July 2025 Session: 30th September, 2025 (for December 2025 Term End Exam). |
| Format | Ready-to-Print PDF (.soft copy) |
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MST 020 (January 2025 - July 2025) - ENGLISH
TUTOR MARKED ASSIGNMENT
MST-020: Survey Sampling and Design of Experiments-II
Course Code: MST-020
Assignment Code: MST-020/TMA/2025
Maximum Marks: 100
Note: All questions are compulsory. Answer in your own words.
1. State whether the following statements are true or false and also give the reason in support of your answer:
a) If X and Y are uncorrelated, the V(Rag) reduces to that of Variance of Ratio Estimator of Population mean
b) Among all the members of the General Class of the estimators only Regression estimator is an unbiased estimator of the Population mean.
c) An Incomplete Block Design with the following parameters b=8,k=3,9=8,r=3 is found to be a Balanced Incomplete Block Design.
d) A One-half fractional factorial design of a 2ª full factorial design will be denoted by a 22 Factorial design.
e) The Cluster estimator ỹ, becomes an unbiased estimator of population mean only if M and , are uncorrelated
2. Suppose we wish to estimate the total number of Cows in 2026 in certain state. The total number of cows for 2024 was X = 5000. The Sampling unit was the farm, and it is assumed that there has been no change in the number of farms which we shall assume to be N=500. A sample of n=20 farms is selected, and the data is as follows:
| Farm | 2024 | 2026 | Farm | 2024 | 2026 |
| 1 | 12 | 14 | 11 | 11 | 14 |
| 2 | 22 | 25 | 12 | 17 | 19 |
| 3 | 38 | 37 | 13 | 12 | 12 |
| 4 | 15 | 18 | 14 | 22 | 23 |
| 5 | 18 | 20 | 15 | 14 | 16 |
| 6 | 31 | 30 | 16 | 26 | 28 |
| 7 | 15 | 15 | 17 | 08 | 09 |
| 8 | 20 | 21 | 18 | 16 | 15 |
| 9 | 10 | 12 | 19 | 13 | 15 |
| 10 | 25 | 12 | 20 | 19 | 20 |
Estimate the average number of cows for 2026 by Ratio Method of estimation and obtain the estimate of the MSE of Ratio estimator of Population Mean
3. Define the difference estimator for the population mean. Show that it is an unbiased estimator and its variance is given by where symbols have their usual meanings.
4. A population consisting of 6 clusters, each of size 6 is given below. The values of the study variable Y, noted on each of the units within each cluster are also provided. A random sample of size 3 clusters was selected from the population and 3 elementary units from the selected clusters were randomly chosen
| Cluster | Y - values | Cluster | Y - values |
| 1 | 2, 4, 6, 1, 3, 5 | 4 | 3, 2, 5, 1, 6, 4 |
| 2 | 2, 5, 3, 4, 7, 4 | 5 | 2, 4, 6, 8, 3, 5 |
| 3 | 4, 3, 6, 2, 1, 5 | 6 | 4, 1, 2, 7, 5, 3 |
Let the 2 nd, 4th and 6thclusters be selected randomly in the first-stage sample. Further, let the y-values 2, 7, 3 of the 2nd cluster; 6, 3, 1 of the 4th cluster and 7, 4, 3 of the 6th cluster be selected randomly for the second-stage sample
Estimate the population mean on the basis of the suggested estimator and compare it with the actual value of the population mean
5. Suggest an estimator of population mean in cluster sampling with unequal size clusters, which is based upon the means of selected clusters. Determine whether it is an unbiased estimator?
6. Below is given the plan and yields of 22 -Factorial Experiment involving 2 factors A and B each at two levels 0 and 1. Analyse the design
| Block I | |||
| 117 (1) | 106 b | 129 ab | 124 a |
| Block II | |||
| 124 ab | 120 (1) | 117 b | 124 a |
| Block III | |||
| 111 (1) | 127 a | 114 b | 126 ab |
| Block IV | |||
| 125 ab | 131 a | 112 b | 108 (1) |
| Block V | |||
| 95 ab | 97 b | 73 (1) | 128 a |
| Block VI | |||
| 158 a | 81 (1) | 125 ab | 117 b |
Does treatment effect A differs from treatment effect B?
7. Explain what is meant by a one-quarter fractional factorial experiment of a 2 2 factorial experiment. Give a notation which denotes the one-quarter fractional factorial design.
8. Let us consider the following Balanced Incomplete Block Design (B.I.B.D.) with parameters
| Block Label | Design |
| I | 1 3 4 5 |
| II | 1 4 6 7 |
| III | 1 2 5 7 |
| IV | 3 5 6 7 |
| V | 2 3 4 7 |
| VI | 1 2 3 6 |
| VII | 2 4 5 6 |
Obtain a derived design from the above Balanced Incomplete Block Design (B.I.B.D.) and find the parameters of the obtained design.
9. Define the Residual B.I.B.D. and Derived B.I.B.D. of a given symmetric B.I.B.D. Mention the rule of constructing a residual B.I.B.D. corresponding to a specific B.I.B.D.
then (X, ) is a (5, 3, 3)- B.I.B.D. Find the incidence matrix of this B.I.B.D.
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