You are spokesman for the launch of a new electric car by a leading car manufacturer. Determine three key messages and then turn them into sound bites. Practise the sound bites in team with one person playing the journalist. And how can bridges help spokesperson stay on message when an interviewer is asking questions on a topic

1. Create an incident for an exposure that is related to PharmacyTechnician. You will be responsible for filling out a detailed incident report.

2. The name of the facility will be UC University Hospital. You will create the name of the victim and staff members involved.

3. Examples of Exposures:

a. Needle stick

b. Chemical spill

c. Radiation exposure

4. Please give a detailed description of your incident. (Don't forget to add the witnesses)

In cohort studies of the roles of a suspected factor in the etiology of a disease, it is essential that: There be equal numbers of persons in both study groups At the beginning of the study, those with the disease and those without the disease have equal risks of having the factor The study group with the factor and the study group without the factor be representative of the general population The exposed and nonexposed groups under study be as similar as possible with regard to possible confounding factors Both b and c

What are some of the distinguishing characteristics of your generational cohort (e.g., generation x, y, or z)? In other words, how does your generation differ from other generations? How do those differences affect your generation’s consumer-related behavior (in general)?

Assume that you have observed 2 prevalent cases of Parkinson’s Disease in a cohort of 1000 people. Calculate the lower 1-sided p-value associated with the hypothesis that the true prevalence equals 0.4% using the binomial, Poisson, and normal distributions. Report to three decimal places.

Assume that you have observed 2 prevalent cases of Parkinson’s Disease in a cohort of 1000 people. Calculate the lower 1-sided p-value associated with the hypothesis that the true prevalence equals 0.4% using the binomial, Poisson, and normal distributions. Report to three decimal places.

what’s the probability that a randomly selected degree earner

1. is female?

2. is female and the person has earned a professional degree?

3. is female or the person has earned a professional degree?

4. is female if the person earned a professional degree?

5. earned a professional degree if the person is female?

6. Does the gender/degree data above suggest that the variables binary gender and degree earned are

   1. Mutually exclusive? Explain,

   2. Independent? Explain.

The instructor claims that the average age of his students is 30 years old. To test this claim a sample of 33 students is taken. At an alpha level of .05 is there enough evidence to support this instructors claim?

Sample ages: 32,28,24,18,35,41,27,28,28,31,27,25,28,31,35,40,36,32,29,28,19,21,26,24,21,19,27,26,23,27,30,20,21

Please list null and alternate hypothesis, critical value, test value, and all steps towards rejecting or accepting the null hypothesis.

Analysis Study Case Question:

• Suppose that your computer only has enough memory to store 40000 entries. Which best graph data structure(s) – you can choose more than 1 -- should you use to store a simple undirected graph with 200 vertices, 19900 edges, and the existence of edge(u,v) is frequently asked?

–Adjacency Matrix

–Adjacency List

–Edge List

# Finds and returns only the even elements in the list u.
# find_evens([1, 2, 3, 4] returns [2, 4]
# find_evens([1, 2, 3, 4, 5, 6, 7, 8, 9, 10] returns [2, 4, 6, 8, 10]
#
u = [1, 2, 3, 4] 
v = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

def find_evens(u):
    return None  # Replace this with your implementation

print('Testing find_evens')
print(' find_evens(u): ' + str(find_evens(u)))
print(' find_evens(v): ' + str(find_evens(v)))
print()

Making code using recursion function

In Python