91- 6303239042
Chebyshev's Inequality
For a random variable with finite mean and variance:
$$P(|X-\mu|\geq k\sigma)\leq\frac1{k^2}$$
for k>0.
Usage
- Used to bound deviations from the mean.
Sign in
Please select an account to continue using cracku.in
↓ →
Chebyshev's Inequality
For a random variable with finite mean and variance:
$$P(|X-\mu|\geq k\sigma)\leq\frac1{k^2}$$
for k>0.
Usage
- Used to bound deviations from the mean.
Start your IIM journey with the right preparation and crack CAT 2026.
Educational materials for CAT preparation
