It is often important to allocate numerical description of each possible outcome

Question

It is often important to allocate numerical description of each possible outcome. True False Random variables for which 0 and 1 are chosen to describe the two possible values is called: Bernoulli random variable Binary random variable A sample space that contains a finite or countable number of possibilities is known as: A continuous sample space A discrete sample space A continuous random variable has a probability of__assuming exactly any of its values. Thus it cannot be given in a tabular form. 0 1 2 3 If X and Y are two discrete random variables, discrete or continuous, with joint probability distribution f(x, y); and marginal distribution g(x) and h(y) respectively. If f (x, y) = g(x) h(y), then the random variables X and Y are said to be: Statistically Dependent Statistically Independent F(X) = P(X lessthanorequalto z) = sigma t lessthanorequalto x f(t), for -infinity

Explanation / Answer

1.1) This statement is true.

1.2) The variable is Bernoulli random variable.

1.3) a discrete sample space.

1.4) In continous distribution the probability at exact value is 0.

1.5) Statistically independent.

1.6) discrete.

1.7) does

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