ANOVA is a hypothesis testing technique used to compare the equality of means for two or more groups; for example, it can be used to test that the mean number of computer chips produced by a company on each of the day, evening, and night shifts is the same. Give an example of an application of ANOVA in an industrial setting that is different from the examples provided in the course. Discuss and share this information with your classmates.

The answer is below

Step-by-step explanation:

ANOVA can be used in a construction industry whereby the construction or project manager is saddled with the responsibility of picking the most appropriate method of construction or materials to be used during construction in the face of two or more alternative options.

For example in terms of method of construction, two or three methods of construction may be available to pick from to construct a building project.

However, due to the possibility of differences in construction cost, and project duration. The construction manager may need to use an ANOVA test to determine the project duration of each method and if it is later revealed through the test that all the methods of construction will lead to the project being delivered on time as the client scheduled.

Then, the construction manager may then result to pick the least expensive alternative of the construction methods.

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! )

the slope of the line is 60

one point on the line is (40,10)

step-by-step explanation:

in the equation outside the parenthesis the equation always tells you the slope. in this case it is 60.

in the parenthesis is also says 40 which is x because it is near the x and 10 is y because it is near y.