11. During the early part of a Major League Baseball season, many fans and 1 point players noticed that the number of home runs being hit seemed unusually
large. Here is the data on the number of home runs hit by American League
and National League teams in the early part of that season. How do the
ranges compare? (Consider the data a sample, and not a population.) *
American
League
35 40 43 49 51 54 57 58 58 64 68 68 75 77
National
League
29 31 42 46 47 48 48 53 55 55 55 63 63 67

the answer   is 200

step-by-step explanation:

this is a problem about poisson probabilities.   i don't know if you've

already studied poisson distributions, or if you have a place to look

to read more about the subject.  

here's how you can see a poisson distribution coming.   when there are

a lot of events that may happen at any time (or any place), and when

you're counting how many of them happen at a particular time (or a

particular place), and each event is independent of the others, then

the result is a poisson distribution.   this is roughly true for the

chocolate chips; one chip being in a cookie has only a small effect on

the probability that another chip will be in the cookie.

once you know you have a poisson distribution, you know a lot.   there

is only one parameter to a poisson distribution, so if you know the

mean, you know everything.   the form of the distribution is

  probability of n chips = {[e^(-x)]*(x^n)} / (n! )

tip $2.90

total $17.40

step-by-step explanation:

no solution.