Share 1 real-world binomial distribution situation and 1 real-world Poisson distribution situation. Be sure to explain why each example is defined as binomial or Poisson. How would you characterize the difference between the two types of distributions? Solution The basic probability of throwing a \"3\" in one throw is p=1/6 . Then for n=6 throws, the average number of 3\'s would be So throwing two 3\'s is definitely not the expected or most probable result, but it remains to be seen how much the probability is diminished relative to the most probable result. Now the number of ways to pick r objects out of a total of n is which is called the.

1. share an insight that you learned about yourself related to management readiness. Indicate how
specifically you plan to either leverage the insight at present or act on it in the future
Solution
The insight that I learned about myself related to management readiness is that I am ready for a
Management position. How I specifically plan to leverage the insight at present is by providing
key insights around strategic trends, providing excellent interpersonal and communication skills,
by paying strong attention to detail, and by being an enthusiastic team player, capable of working
proactively.