IGNOU MST 12 SOLVED ASSIGNMENT
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MST 12: Probability and Probability Distributions
| Title Name | IGNOU MST 12 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 12 |
| Subject Name | Probability and Probability Distributions |
| Year | 2025 |
| Session | - |
| Language | English Medium |
| Assignment Code | MST 12/Assignment-1/2025 |
| Product Description | Assignment of MSCAST (M.Sc. (Applied Statistics)) 2025. Latest MST 012 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) |
📅 Important Submission Dates
- January 2025 Session: 31st October, 2025
- July 2025 Session: 30th April, 2025
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MST 012 (January 2025 - July 2025) - ENGLISH
TUTOR MARKED ASSIGNMENT
MST-012: Probability and Probability Distributions
Course Code: MST-012
Assignment Code: MST-012/TMA/2025
Maximum Marks: 100
Note: All questions are compulsory. Answer in your own words
1. (a) Suppose two friends Anjali and Prabhat trying to meet for a date to have lunch say between 2 pm to 3 pm. Suppose they follow the following rules for this meeting:
Each of them will arrive either on time or 12 minutes late or 24 minutes late or 36 minutes late or 48 minutes late or 1 hour late. All these arrival times are equally likely for both of them.
Whoever of them reaches first will wait for the other to meet only for 10 minutes. If within 10 minutes the other does not reach, he/she leaves the place and they will not meet.
Find the probability of their meeting.
(b) In the study learning material (SLM), you have seen many situations where Poisson distribution is suitable and discussed some examples of such situations. Create your own example for a situation other than those that are discussed in SLM. If you denote your created random variable by X then find the probability that X is less than 2.
2. In an election there are two candidates. Being a statistician, you are interested in predicting the result of the election. So, you plan to conduct a survey. Using the learning skill of this course answer the following question. How many people should be surveyed to be at least 90% sure that the estimate is within 0.03 of the true value?
3. Explain the procedure of assigning probability in the discrete world of probability theory.
4. be two independent gamma distributions and
then find the distribution of U.
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