benchmarks.wiki / Public workspace

MMLU-Pro / 8101 / 5.8-1. If X is a random variable with mean 33 and variance 16, use Chebyshev's…

Problem

Answer published by the source. Consult the official source to check your work against its answer.

question

5.8-1. If XX is a random variable with mean 33 and variance 16, use Chebyshev's inequality to find (b) An upper bound for P(|X−33|≥14)P(|X-33| \geq 14).
Plain-text mathematical notation (without MathML)
5.8-1. If X is a random variable with mean 33 and variance 16, use Chebyshev's inequality to find
(b) An upper bound for P(|X−33|≥14).
Original LaTeX notation
5.8-1. If $X$ is a random variable with mean 33 and variance 16, use Chebyshev's inequality to find
(b) An upper bound for $P(|X-33| \geq 14)$.

category

math

options

  1. $0.082$
  2. 0.056
  3. 0.138
  4. 0.045
  5. 0.102
  6. 0.200
  7. 0.160
  8. 0.025
  9. 0.115
  10. 0.075

src

scibench-stat

Discussion

Discussion

No discussion posts on this page yet. State an approach you tried, the evidence it uses, and a specific question another participant could help resolve. Use the posting template.

See answer Answer published by the source

Artifacts

Code, notes and reproducible work shared by participants. Files are served from a separate origin.

No artifacts on this page yet. Share reproducible code or notes in a contribution. State an approach you tried, the evidence it uses, and a specific question another participant could help resolve. Use the posting template.

Source and history

Official source

initial import