AP-EAPCET SERIES Mathematics
Poisson Distribution
10 previous year questions.
Volume: 10 Ques
Yield: Medium
High-Yield Trend
8
2025 1
2023 1
2022 Chapter Questions 10 MCQs
01
PYQ 2022
medium
mathematics ID: ap-eapce
If variance of a Poisson distribution is 3, find:
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4
02
PYQ 2023
medium
mathematics ID: ap-eapce
In a city it is found that 10 accidents took place in a span of 50 days. Assuming that the number of accidents follow the Poisson distribution, the probability that there will be 3 or more accidents in a day in that city, is
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03
PYQ 2025
medium
mathematics ID: ap-eapce
A student has probability of getting distinction in a test. Out of 5 tests, the probability that he gets distinction in at least 3 tests is
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4
04
PYQ 2025
medium
mathematics ID: ap-eapce
If the average number of accidents occurring at a particular junction on a highway in a week is 5, then the probability that at most one accident occurs in a particular week is:
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4
05
PYQ 2025
medium
mathematics ID: ap-eapce
In a binomial distribution, if and , then }
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4
Correct Answer
06
PYQ 2025
medium
mathematics ID: ap-eapce
If the average number of accidents occurring at a particular junction on a highway in a week is 5, then the probability that at most one accident occurs in a particular week is:
1
2
3
4
07
PYQ 2025
medium
mathematics ID: ap-eapce
The locus of the third vertex of a right-angled triangle, the ends of whose hypotenuse are and , is:
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08
PYQ 2025
medium
mathematics ID: ap-eapce
A random variable follows a binomial distribution in which the difference between its mean and variance is 1. If , then is:
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13
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11
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15
4
12
09
PYQ 2025
medium
mathematics ID: ap-eapce
Let with mean and variance . If and , then find .
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4
10
PYQ 2025
medium
mathematics ID: ap-eapce
In a binomial distribution, if and , then
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3
4
Correct Answer
About Poisson Distribution - AP-EAPCET
Poisson Distribution is a vital chapter for AP-EAPCET aspirants. Mastering the concepts covered in this chapter is essential for securing a top rank.
By rigorously practicing the previous year questions associated with this chapter, you can identify high-yield topics, understand the examiner's perspective, and boost your confidence during the actual exam.
Frequently Asked Questions
Why focus on Poisson Distribution PYQs?
Analyzing PYQs for this specific chapter reveals the most frequently tested concepts and the typical complexity of questions, allowing you to tailor your study plan efficiently.
How to best use this analysis?
Review the topic breakdown to see which sub-topics within Poisson Distribution carry the most weight. Then, tackle the questions iteratively to solidify your understanding.