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Consider the simple model someone built on in this Excel Assessment template file. Following best practices discussed in class, convert it to an optimization problem that finds — according to the model — the best price to help the company achieve the highest projected profit while keeping the total costs per unit sold (i.e., [total cost]/[Units sold]) less than or equal to $100 per unit. Then, answer the questions below.

Imagine a very smart badger built a Python model as a function that can predict your company’s profits next year based on various inputs that you would need to provide. How did this class suggest you leverage optimization and this model to increase profits?

Consider this line of code.  c_coef = [[0, 1, 2, 3],[4, 2, -3, 9],[2, -1, 2, 1]] What value would c_coef[0][1] return?

A nurse is developing a plan of care for a client diagnosed with Bell’s palsy. Considering the client’s condition, what specific nursing intervention would be most approporate for the nurse to implement to protect the eye from injury? 

Which of the following is/are risk factors for delirium development?  SELECT ALL THAT APPLY 

 Conflict in schools can occur in at least three contexts, interpersonal, intergroup, and interorganizational. Which of the following best describes interpersonal conflict?

You are caring for a patient who was diagnosed with a stroke on the left side of the brain.  Which of the following would you expect him to exhibit?  SELECT ALL THAT APPLY. 

Change that occurs in schools can be classified as (a) continuous, first-order change; or (b) discontinuous, second-order change (Conley, 1997). Which one of the following best describes first-order change?

A nurse is assessing a client who has experienced a right intracerebral hemorrhage. The nurse notes that the client exhibits left-sided weakness and difficulty with speech. Which of the following nursing actions best demonstrates the nurse’s ability to analyze the situation and prioritize care for this client?

The states that for any population with mean μ and standard deviation σ, the distribution of sample means for sample size n will approach a normal distribution with a mean of μ and a standard deviation of σ/squareroot n as n approaches infinity.