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CSIR NET June 2025 · Part B (3 Marks)Probability, Statistics & Linear Programming#the-state-space-is-the-2025-residues-not-the-2024-step-values

Let Z1,Z2,…Z_{1}, Z_{2}, \dots be a sequence of independent and identically distributed random variables having discrete uniform distribution over {1, 2, …, 2024}. Let Yn=∑iY_{n} = \sum_{i}₌1nZi,n≥2_{1}^{n} Z_{i}, n \ge 2. Further, let XnX_{n} be the remainder when YnY_{n} is divided by 2025. Then, which of the following statements is true?

Single choice · Limit Theorems and Markov Chains

CSIR NET December 2025 · Part B (3 Marks)Probability, Statistics & Linear Programming#the-sum-of-two-uniforms-is-triangular-not-uniform-integrate-the-right

Let X1X_{1} and X2X_{2} be a random sample from Uniform[0,θ][0,\theta] distribution, where θ>0\theta > 0. For testing the hypothesis H0:θ=1H_{0}: \theta=1 against H1:θ=2H_{1}: \theta=2, consider a test which rejects H0H_{0} if X1+X2>4/5X_{1}+X_{2} > 4/5. Then, the probability of type-I error is

Single choice · Hypothesis Testing

CSIR NET December 2024 · Part B (3 Marks)Probability, Statistics & Linear Programming#the-null-density-is-uniform

Let X be a random variable with the probability density function f(x)=2θx+2(1−θ)(1−x)f(x) = 2\theta{}x + 2(1 - \theta)(1 - x) if 0 < x < 1, and 0 otherwise, where θ∈[0,1]\theta \in [0, 1]. Based on single observation x, the critical region of the most powerful test for testing null hypothesis H0:θ=1/2H_{0} : \theta = 1/2 against alternative hypothesis H1:θ=1H_{1} : \theta = 1, at level of significance α=0.25\alpha = 0.25, is

Single choice · Hypothesis Testing

CSIR NET June 2024 · Part B (3 Marks)Probability, Statistics & Linear Programming#chi-squared-two-df-is-exponential

Let X1,X2X_{1}, X_{2} be a random sample from N(0,σ2)N(0, \sigma^{2}) distribution, where σ>0\sigma > 0 and N(μ,σ2)N(\mu, \sigma^{2}) denotes a normal distribution with mean μ\mu and variance σ2\sigma^{2}. Suppose, for some constant c,(c(X12+X22),∞)c, (c(X_{1}^{2} + X_{2}^{2}), \infty) is a confidence interval for variance σ2\sigma^{2} with confidence coefficient 0.95. Then the value of c is equal to

Single choice · Probability

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