City Chicago Average Minimum

Temperature in Jan.
Atlanta
Miami
Seattle
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Helena
Los Angeles
37
19
58
33
22
45
8
47
Latitude
42.3
33.9
26.3
48.1
43.7
30.8
47.1
34.3
a.
Use your calculator to find the value of r (correlation coefficient)

9. If

QS

bisects PQT, mSQT = (8x – 25)°

, mPQT = (9x + 34)°

, and mSQR = 112°

, find each

measure. 9. If

QS

bisects PQT, mSQT = (8x – 25)°

, mPQT = (9x + 34)°

, and mSQR = 112°

, find each

measure. 9. If

QS

bisects PQT, mSQT = (8x – 25)°

, mPQT = (9x + 34)°

, and mSQR = 112°

, find each

measure.

Step-by-step explanation:

peoedl;mca; lol

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! )

could

step-by-step explanation:

u send me a picture of ur work