UGC NET Probability distributions Previous Year Questions
JRFSmart holds 37 previous-year questions on Probability distributions from UGC NET Commerce (Paper 2), filed under Unit 5: Business Statistics and Research Methods, drawn from 20 of the 22 exam papers in the bank (2018–2025). Each question can be practised with a full explanation and shows how often NTA has returned to the same idea.
What is asked in Probability distributions
The questions in this topic fall under these subtopics, ordered by how many previous-year questions each has.
| Subtopic | Questions |
|---|---|
| Properties of the normal distribution | 3 |
| Addition theorem | 2 |
| Poisson distribution | 2 |
| Poisson distribution - variance | 1 |
| Properties of a random variable | 1 |
| Expected value | 1 |
| Theorems of probability | 1 |
| Area under the normal curve | 1 |
| Discrete probability distribution | 1 |
| Pareto distribution | 1 |
| Matching distributions to situations | 1 |
| Poisson distribution - applications | 1 |
NTA repeat analysis
Probability distributions appears in 20 of 22 papers (91%), which JRFSmart rates as high frequency.
5 questions in this topic have been verified as repeated in more than one paper.
Sample previous-year questions
If an average 2 customers arrive at a shopping mall per minute, what is probability that in given minute exactly 4 customers will arrive? (e −2 = .1353)
Which one of the following distributions aptly describes the ownership of income and property in a capitalist economy?
Which of the following are the properties of Binomial distribution? A. May be symmetrical or skewed B. Uni-modal, bell-shaped and symmetrical C. Asymptotic to the −axis D. n and p are the two parameters E. μ and σ are the two parameters Choose the correct…
What is the probability that the sum of outcomes on a pair of dice is equal to 8?
Match List I with List II LIST I | LIST II I. P(Hi/E) = P[(Hi intersection E)/P(E)] | 1. Theorem of addition II. P(E2/E1) = P[(E1 intersection E2)/P(E1)] | 2. Theorem of multiplication III. P(E1 intersection E2) = P(E1) x P(E2) | 3. Conditional probability…
If a random variable X follows a Poisson distribution such that P(X = 1) = 4P(X = 2), the variance of X is:
Which of the following are True for a random variable? A. A random variable is a certain quantity, whose value depends on chance. B. A continuous random variable can assume at most two countable number of values. C. A discrete random variable can assume at…
The probability that a leap year selected at random contains either 53 Sundays or 53 Mondays is :
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Practise Probability distributions
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