The excursion boat on the river takes 2½ hours to make the trip to a point 12 miles upstream and to return. if the rate at which the boat travels in still water is 5 times the rate of the river current, what is the rate of the current? which of the following equations can be used to solve for c, the rate of the current? 1. (4c)(2.5) + (6c)(2.5) = 24 2.(4c)(12) + (6c)(12) = 2.5 3.[12/(4c)] + [12/(6c)] = 2.5

- choice B

Step-by-step explanation:

Let c miles per hour be the rate of the river current. If the rate at which the boat travels in still water is 5 times the rate of the river current, then the rate of the boat is 5c miles per hour.

1. Upstream the rate of the boat is 5c-c=4c miles per hour. To overcome 12 miles upstream it is needed

2. Downstream the rate of the boat is 5c+c=6c miles per hour. To overcome 12 miles downstream it is needed

2. The total time is

If the excursion boat on the river takes 2½ hours to make the trip to a point 12 miles upstream and to return, then

Solve this equation:

This equation was obtained as

answer: 20

step-by-step explanation: subtract the minimum date value from the maximum data value to find the date range. in this casem the date range is 42 - 22 = 20

hope this ! : ) ~zane

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! )