Chebyshev's inequality is applicable to which types of probability distributions?Group of answer choicesAny probability distributionOnly binomial distributionsOnly Poisson distributionsOnly normal distributions

Chebyshev’s inequality gives the proportion of values within k standard deviations around the mean for any shape of the distribution of values. Therefore, 2 standard deviations from the mean will cover more values under Chebyshev’s inequality than under normal distribution.AFalseBTrue

The P(X ≤ x) is an example of a cumulative probability.Group of answer choicesTrueFalse

Chebyshev rule suggest ___________% distribution of data around mean while K=2.Group of answer choices95680.7575

If X is a random variable such that E(X)=3 and E(X 2 )=13, use Chebyshev’s inequality todetermine a lower bound for P(-2<X<8).

or a standard normal distribution, the probability of z <= 0 isGroup of answer choiceszero1-.5.5