Discrete probability variable and Interpreting normal Distributions

A—The Poisson Distribution is a discrete probability distribution where the number of occurrences in one interval (time or area) is independent of the number of occurrences in other intervals. April Showers bring May Flowers!! Research the “Average Amount of Days of Precipitation in April” for a city of your choice. Introduce Introduce the City and State. Let us know a fun fact! Tell us the average number of days of precipitation in that city for the month of April. Cite your Source Calculations What is the probability of having exactly 10 days of precipitation in the month of April? What is the probability of having less than three days of precipitation in the month of April? What is the probability of having more than 15 days of precipitation in the month of April? Analysis Write a sentence for each of the probabilities explaining what those probabilities mean in context of days of precipitation in your chosen city. Would any of the situations be considered unusual? Why or Why Not? B—-Log onto website where you can observe your service bill for the last 12 months (electric bill, cell phone bill, water bill, etc.). If you do NOT feel comfortable sharing this data, you can make up values. In excel, list the values of your bill for the last 12 months on one column. Find the sample mean and sample standard deviation of your data. Pick three bills from the last 12 months and change the values into z-scores. What does the z-score tell you about that particular month? Analysis Between what two values would be considered a normal bill? Remember, being within 2 Standard Deviations is considered normal. Are any of your bills in the last 12 months unusual? Very unusual? Are there times when you would accept an “unusual” bill? Explain. please answer the 2 questions A and B on 1 page each thanks

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