Suppose that last quarter, TV World sold 300 television sets.
If there is .20 likelihood of selling an extended warranty with each television sold,
the number of extended warranties sold last quarter
should be around
__ 60 __, give or take
__ 7 __ or so (we will compute this later).
The first number is called the *expected value* of the number of warranties
sold; the second number is the *standard deviation*.
Recall that *X*, the number of warranties sold, is a Binomial random variable.
The **expected value** , denoted *E*(*X*) ,
of a Binomial random variable *X* with parameters *n* and
*p*
is computed as:

The expected value

Returning to the example, since

The SD for random variables is interpreted similarly to the SD for a sample.
If the store sells 300 TV sets every quarter, they won't sell
exactly 60 extended warranties every time; sometimes they will sell
more, sometimes they will sell less. By how much more, and how much less?
The answer is, ``By 7, *on the average*''.
Similarly, a baseball player with .200 batting average won't necessarily get
60 hits in 300 at bats . We *expect* him to get 60 hits, give or take
7 hits or so.

Exercise:Suppose that 5% of videos rented at Campus Video incur a late rental fee. If 700 videos were rented last week, the number that will incur a late rental fee should be around __________ give or take __________ or so.