Question

13. Examples of discrete random variables include which of the following? (I) The number of clicks an online advertisement receives (II) The amount of oxygen in a certain room. (III) The number of people on a flight from LA to Australia (IV) The number of traffic accidents on a particular stretch of I-80 in 2012

14. The expected value is essentially a _____________of the possible outcomes for the random variable. The weights are the corresponding probabilities for those possible outcomes. Just like the arithmetic mean, it is common for the expected value to be a decimal or fraction even when the original set of outcomes must be whole numbers.

15. A consequence of a continuous random variable having its probability distributed across an infinite, uncountable set of possible values is that the probability that any continuous random variable will equal any specific value is always ______________.

Answer 1

Answer:

13.

Here all of the given examples are taken into count & we can say that the counts are whole numbers.

So it is discrete.

I, II,III, IV all of them are counts.

14.

The expected value is essentially a Weighted average  of the possible outcomes for the random variable.The weights are the corresponding probabilities for those possible outcomes. Just like the arithmetic mean, it is common for the expected value to be a decimal or fraction even when the original set of outcomes must be whole numbers.

15.

A consequence of a continuous random variable having its probability distributed across an infinite, uncountable set of possible values is that the probability that any continuous random variable will equal any specific value is always zero.