The process involved with selecting the “right” employee will differ depending on the requirements of the job. In addition, the culture and expectations of an organization will have great impact on the structure of the selection process. Where one health care setting might require applicants to participate in group interviews, another might use personality tests. In addition, the qualities for which interviewers look might also vary, ranging from a personality focus to a skills focus.
In this Assignment, you investigate the selection process that is used in a health care organization with which you are familiar. You also identify the expectations of both human resources and the nurse manager in terms of selection.
To prepare
Review Chapter 6, “Selecting New Employees” in the course text, Human Resource Management: Functions, Applications, Skill Development, to examine the various selection processes health care settings and other organizations may employ. In addition, reflect upon the three types of “fit” nurse managers should take into consideration when selecting new employees.Identify a position that is open or has recently been filled in your organization.Using what you know about the position, the culture and expectations of the organization, your own hiring and selection experiences, and this week’s readings, investigate the following:Identify the selection steps that have been or will be taken, as well as the members involved. For example, which steps did human resources complete? In which steps did the nursing manager engage?Identify the skills, educational and work background, and “fit” required for this position. How do these align with the advertised job description?Identify any problems or areas that could be improved in your organization’s current selection process. If you were the nurse manager, how would you modify this process?Note: If possible, you may also choose to discuss these ideas with an HR professional or nurse manager in your organization.To complete
By Day 7Submit a 3- to 5-page paper in which you do the following:
Briefly describe the selection process used in your setting.Identify the team members involved in conducting each step. For example, explain which steps HR performs and which steps managers perform.Explain how effective you believe the current system is.Briefly describe any problems (e.g., rushing, stereotyping, “like me” syndrome, halo and horn effect, premature selection) your setting has experienced with this current selection system (if applicable).Explain how you would modify the process and why.Identify the job title for the open or recently filled position.Describe the skills and background a desirable applicant would have.Describe the type of “fit” that would make this applicant the “right” person for this specific job.Compare the job description with the expectations of the position.Explain whether or not the job description aligns with the skills, background, and “fit” needed to excel in this position.Explain the specific attributes or characteristics you, as the nurse manager responsible for selecting a candidate for the position, might seek that are not specifically outlined in the job description. Describe how you could you elicit this information during an interview. Hershey Medical Center

CMPSC-132 – Programming and Computation II: Data StructuresPROJECT-1: Global Temperature AnalysisName:Introduction:The change in temperature over the past 150 years is used by climate scientists as evidence to show that humans might have an increasingly devastating effect on the Earth’s environment. Advances in computer modeling are allowing for climatologists to tease out both the causes and impacts of increasing Earth temperatures. In this recent Star Tribune article, researchers ran computer simulations that compared natural weather fluctuations for today’s CO2 and greenhouse gas levels to pre-Industrial Revolution levels.Although thinking about climate change can sometimes be daunting, it is an issue that is increasingly important to understand culturally and scientifically. You have probably seen many graphs showing the temperature over x number of years, but have you ever had the chance to examine the data yourself? In this activity, you are provided with a data set of monthly average global temperatures worldwide from January 1881 to December 2017. The goals of this project are to allow you to work with meaningful climate change data so as to draw your own conclusions and become better acquainted with Python data structures and some useful functions. Learning these skills to analyze the change in temperature over the past 137 years are extremely useful, and temperature is just the “tip of the iceberg” when it comes to computer modeling of weather-related data.Note: For each exercise, paste codes or a screenshot of codes and resultsStartup python codes:import requestsimport matplotlib.pyplot as pltlink = “https://data.giss.nasa.gov/gistemp/tabledata_v3/GLB.Ts+dSST.txt”f = requests.get(link)data =f.textlines=data.split(‘n’)”’for more about plots, visit https://matplotlib.org/users/pyplot_tutorial.html”’**Exercise 1**Convert the data from scaled change in Celsius to absolute temperature in Fahrenheit. What is the mean temperature in Fahrenheit over the entire data set? Confirm that your result is reasonable.# Your codes and results screenshots**Exercise 2**Find the mean average temperature of each month, as well as the lowest and highest average temperatures for each month. This is easiest if you create new list or dictionary that have all January temperatures, all February temperatures, and so on. When did the lowest and highest occur for each month? Are the highest temperatures generally more recent than the lowest temperatures?# Your codes and results screenshots, and analysis**Exercise 3**For the rest of the project, it will be helpful to define two functions. Define one function that takes the month and year as input and outputs the index for that given month and year. Define another function that takes the index as the input and outputs the month and year.# Your codes**Exercise 4**Create plots of the monthly average temperature over time for each month: one plot for all January average temperatures, one plot for all February average temperatures, etc. The plots should have Years on the horizontal (x) axis, and Temperature on the vertical (y) axis. The previously defined functions will be helpful here. Your code should plot all months (separately).# Your codes and results screenshots**Exercise 5**Create a plot that shows the average annual temperature over all years. (That is, create one plot where each data point corresponds to the average temperature for a year.) (HINT: This is easiest if you create a new list with elements representing average temperature).# Your codes and results screenshots****************************************Read Me*****************************************Technical information on GISTEMP data (about the data given to you)GLOBAL Land-Ocean Temperature Index in 0.01 degrees Celsius base period: 1951-1980sources: GHCN-v3 1880-01/2014 + SST: ERSST 1880-01/2014using elimination of outliers and homogeneity adjustmentNotes: 1950 DJF = Dec 1949 – Feb 1950 ; ***** = missingDivide by 100 to get changes in degrees Celsius (deg-C).Multiply that result by 1.8(=9/5) to get changes in degrees Fahrenheit (deg-F).Best estimate for absolute global mean for 1951-1980 is 14.0 deg-C or 57.2 deg-F,so add that to the temperature change if you want to use an absolute scale(this note applies to global annual means only, J-D and D-N !)Example —Lets take a Table Value : 40 i.e. from the data you have loadedchange : 0.40 deg-C or 0.72 deg-F (Divide by 100 to get changes in degrees Celsius (deg-C))abs. scale if global annual mean: 14.40 deg-C or 57.92 deg-F (i.e. change+absolute global mean)Try to incorporate this data (i.e. absolute Fahrenheit data) as asked in exercise-1 to get a real feel about the global temperature.Project-1 data have been gathered fromhttp://data.giss.nasa.gov/gistemp/tabledata_v3/GLB.Ts+dSST.txtGo through this document to have a better understanding of the data:http://data.giss.nasa.gov/gistemp/faq/