Use the boxplot to identify the maximum value, minimum value, median, first quartile, third quartile, and interquartile range. a. 500, 400, 450, 350, 475, 125 b. 500, 350, 450, 400, 475, 3 c. 475, 400, 450, 350, 500, 150 d. 500, 350, 450, 400, 475, 75

d. 500, 350, 450, 400, 475, 75

Step-by-step explanation:

Hello!

In the graph, the box is delimited by the 1st and 3rd Quartiles, its width represents the IQD and the 2nd Quartile is always the line drawn inside the box.

Then the side of the box is the 1st Quartile and the right side of the box is the 3rd Quartile, the 2dn Quartile (Median) is inside the box:

1stQ= 400

2ndQ= 450

3rdQ= 475

IQD= 3rgQ-1stQ= 475-400= 75

The whiskers of the box plot are a line drawn from the box to the min/max value.

The left whisker is the line drawn from the 1st Quartile to the minimum value of the sample and the right whisker is the line drawn from the 3rd Quartile to the maximum value of the sample.

With this in mind you can identify the min and max values in the graphic:

Min= 350

Max= 500

I hope this helps!

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! )

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