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MST 21: Classical and Bayesian Inference

Title Name IGNOU MST 21 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 21
Subject Name Classical and Bayesian Inference
Year 2025
Session -
Language English Medium
Assignment Code MST 21/Assignment-1/2025
Product Description Assignment of MSCAST (M.Sc. (Applied Statistics)) 2025. Latest MST 021 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).
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  • January 2025 Session: 31st October, 2025
  • July 2025 Session: 30th April, 2025

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MST 021 (January 2025 - July 2025) - ENGLISH

TUTOR MARKED ASSIGNMENT

MST-021: Classical and Bayesian Inference

Course Code: MST-021

Assignment Code: MST-021/TMA/2025

Maximum Marks: 100

Note: All questions are compulsory. Answer in your own words.

1(a) State whether the following statements are True or False. Give reasons in support of your answer:

(i) If the form of the population is not known and data are in ordinal form then we apply the Wilcoxon Signed rank test for testing hypothesis about average.

(ii) The Neyman-Pearson lemma provides the most powerful test of size a for testing a simple hypothesis against a simple alternative hypothesis.

(iii) The Rao-Blackwell theorem enables us to obtain a manimum variance unbiased estimator through complete statistic.

(iv) For testing goodness of fit when the data are in categorical form, we use K-S test.

(v) In the Bayesian approach, we treat the parameter as a constant.

(b) Differentiate between Rao-Blackwell and Lehmann-Scheffe theorems.

2. A faculty member of a university receives a number of emails. If X represents the number of spam emails in n emails and follows a binomial distribution with parameters equation where equation is the probability of getting spam email, then find the posterior distribution of considering the following beta distribution.

equation

Also, find the posterior mean of θ .

3. A food processing company packages 10 gm of honey in small jars. Previous experience suggests that the volume of a randomly selected jar of the company’s honey is normally distributed with a known variance of 2 gm. Drive likelihood ratio test for testing

equation

at a α level of significance. Givenequation

4. If the number of weekly accidents occurring on a mile stretch of a particular road follows a Poisson distribution with parameter λ . Then

(i) Find the Cramer-Rao lower bound for the variance.

(ii) Also, find the UMVUE of λ .

5. The following data give the sales of 6 models of mobiles at four different stores. The sales of each mobile (in number of mobiles sold) from each store are given as follows:

Store A  Store B Store C Store D
58 74 35 78
55 57 51 85
38 65 41 62
63 48 52 75
41 83 54 87
50 61 53 57

 

Test whether there is a significant difference in the sales of the four stores by using the Kruskal Wallies test at 1% level of significance equation

 

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