Question: Please answer all the question. 1-3 For Question 1 and 2 please answer using the information below. Consider the following example, then answer the following

Please answer all the question. 1-3

For Question 1 and 2 please answer using the information below.

Consider the following example, then answer the following questions to explore aspects of the frequency distribution and its spreadsheet functionalities.

The number of patients at Central Valley Hospital who present at its emergency room with symptoms of a highly contagious virus on randomly selected days during an outbreak were as follows:

32 33 33 34 36 37 39 42 43 45 46 47 48 49 49 50 52 53 54 54

For organizationalpurposes, an administrative intern at the hospital sorts the data into five classes: lower thirties, upper thirties, lower forties, upper forties, and lower fifties.

Question 1)

The intern knows that the lower and upper class limits(LCLand UCL)for the first or lowest class of data would be what values? Record the values precisely without insignificantdigits, extra punctuation or characters.

LCL of first class: ___________

UCL of first class:____________

Question 2)

The intern also knows that the lower class boundary (LCB) would be one-half unitbelow the lower class limit and conversely theupper class boundary (UCB) would be one-half unit above the upper class limit? What are these boundaries for the first class? Record the values precisely without insignificantdigits.

LCB of first class: ________________

UCB of first class:_________________

For question 3 use the information below.:

Directions: Solve the following problems and answer the following questions about the Poisson discrete probability distribution. Be precise! Then, report the most appropriate response in the corresponding online test feature. Special Note: Some additional research or independent study may be helpful with this FLIP CHECK.

For Problems or Item #10, consider the following context: The management team at The Pine Barrens Regional Medical Center (TPBRMC) in South Jersey wants to assure adequate staffing in labor and delivery during the overnight hours from midnight until 8 AM when staffing is limited; anticipated births are not planned for these overnight hours so any deliveries are walk-ins or unexpected. According to hospital records, on average three babies are born during an overnight shift. [COMMENTS & HINTS: What discrete probability distribution best describes this context? Express answers rounded to the nearest whole percentage with percent symbol as #% or ##%.]

Question 3)

What is the chance that during any randomly selected overnight shift, more than six babies are born at TPBRMC????

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