MathIsimple

Limit Theorems Practice

Master convergence concepts and asymptotic behavior

10
Questions
45-60
Minutes
Advanced
Level
4
Topics
Practice Questions
Choose a question to start practicing limit theorem concepts
1
Convergence Properties

Slutsky's Lemma Application

Let ξₙ →d ξ (convergence in distribution) and ηₙ →P c (convergence in probability to constant c). Wh...

2
Distribution Approximation

Poisson Approximation to Binomial

Let ξₙ ~ B(n, 0.1) and lim(n→∞) n × 0.1 = λ > 0. Then ξₙ converges in distribution to:

3
Convergence Types

Almost Sure vs Probability Convergence

Which statement about the relationship between almost sure convergence and convergence in probabilit...

4
Law of Large Numbers

Khintchine's Weak Law

Let {ξₙ} be independent and identically distributed random variables with E(ξ₁) = 2 and Var(ξ₁) = 4....

5
Central Limit Theorem

Poisson CLT Application

Let ξₙ ~ P(n) (Poisson distribution). When n → ∞, (ξₙ - n)/√n converges in distribution to:

6
Weak Law Conditions

Chebyshev's Weak Law Conditions

Which condition ensures {ξₙ} satisfies the weak law of large numbers according to Chebyshev?

7
Strong vs Weak Convergence

Strong Law Properties

Let ξₙ →a.s. ξ (almost sure convergence). Which conclusion is INCORRECT?

8
CLT Applications

de Moivre-Laplace Approximation

Using the de Moivre-Laplace theorem to approximate a binomial distribution with n=100, p=0.5, what i...

9
Distribution Function Convergence

Helly's Second Theorem

If Fₙ ⇒ F (weak convergence of distribution functions), which function g(x) guarantees ∫g(x)dFₙ(x) →...

10
CLT General Form

Lindeberg-Lévy CLT

Let {ξₙ} be i.i.d. with E(ξ₁) = μ and Var(ξ₁) = σ² > 0. Then (∑ᵢ₌₁ⁿ ξᵢ - nμ)/(√n σ) converges in dis...