Exp19_Excel_Ch07_ML1_Admissions

Exp19_Excel_Ch07_ML1_Admissions

Exp19 Excel Ch07 ML1 Admissions

Excel Chapter 7 Mid-Level 1 – Admissions

Project Description:

You work in the Admissions Office for a small regional university in Massachusetts Your assistant entered a list of college applicants for the Fall 2021 semester. You determine if a student qualifies for early admission or early rejection based on SAT and GPA. After determining the immediate admissions and rejections, you calculate a total score based on SAT and GPA to determine regular admissions and rejections.

     

Start Excel. Download and open   the file named Exp19_Excel_Ch07_ML1_Admissions.xlsx.   Grader has automatically added your last name to the beginning of the   filename.

 

First, you want to calculate the   number of days between the Initial Deadline and the Date Received.
 

  In cell D11, insert the DAYS function using the Initial Deadline that is   stored in cell B8 and the Date Received that is stored in cell C11. Use mixed   and relative references correctly.

 

 

Copy the DAYS function from cell   D11 to the range D12:D67. A negative value indicates the application was   received after the initial deadline.

 

Next, you want to determine if a   student should be admitted early.
 

  In cell G11, insert the IF function with a nested AND function to display   either Yes   or No in the Admit Early column. The   university admits a student early if that student meets both the Early   Admission criteria for the SAT (cell B3) and GPA (cell B4). That is, the   student’s SAT score must be 1400 or higher, and the GPA must be 3.80 or   higher. Use relative and mixed references to the cells in the Admission   Criteria range. Based on the requirements, the first student, 2020005, will   be admitted early.

 

 

Now that you determined which   students are admitted early, you want to determine if a student should be   rejected early.
 

  In cell H11, enter the IF function with a nested OR function to display   either Yes   or No in the Reject Early column. The   university rejects a student early if that student has either an SAT score   less than 800 (cell C3) or a GPA below 1.80 (cell C4). Use relative and mixed   references to the cells in the Admission Criteria range.

 

Use column I to calculate an   applicant’s admission score.
 

  In cell I11, enter a formula to calculate an applicant’s admission score.   Multiply the GPA (cell F11) by the multiplier (cell B7) and then add that   result to the SAT score (cell E11). The first score is 3925. Use relative and   mixed references appropriately.

 

In column J, you want to display   Early Admission, Early Rejection, Admit, or Reject, respectively, to indicate   the final decision.
 

  In cell J11, enter the IFS function. If Admit Early is Yes, display the text Early   Admission. If   Reject Early is Yes, display the text Early Rejection. If the score is greater than the threshold score   in cell B6, display Admit. If the score is less than or equal to the threshold score in   cell B6, display Reject. Use mixed reference to cell B6.

 

You are ready to copy the   formulas down their respective columns.
 

  Copy the formulas down the Admit Early, Reject Early, Score, and Final   Decision columns. 

 

You want to enter formulas in   the Summary Data section to summarize key points. First, you want to   determine the number of Early Admissions and the number of Admits.
 

  In cell H3, insert the COUNTIF function to count the number of Early   Admissions in the range J11:J67. Use mixed reference for the Range argument   and use cell E3 as the condition. Copy the function to cell H4. It should   adjust automatically to count the number of Admit in the range J11:J67.

 

Next, you want to calculate the   average SAT score for Early Admissions.
 

  In cell I3, enter the AVERAGEIF function to calculate the average SAT score   in the range E11:E67 where Final Decisions in the range J11:J67 are Early   Admission. Use mixed references so that the row numbers in the ranges do not   change when copied down. Use a relative reference to cell E3 for the   condition.

 

You want to calculate the   average GPA score for Early Admissions.
 

  In cell J3, insert the AVERAGEIF function to calculate the average GPA in the   range F11:F67 where Final Decisions in the range J11:J67 are Early Admission.   Use mixed references so that the row numbers in the ranges do not change when   copied down. Use a relative reference to cell E3 for the condition.

 

 

Apply Number format with zero   decimal places to cell I3. Then, copy the functions in the range I3:J3 to the   range I4:J4.

 

You want to count the number of   applications that meet two conditions.
 

  In cell H5, insert the COUNTIFS function to count the total number of   applications that meet
  two conditions: Scores in the range I11:I67 are greater than or equal to 3500 and Final Decisions in the   range J11:J67 are Early Admissions (cell E3).

 

 

You want to count the number of   applications that meet two more conditions.
 

  In cell H6, insert the COUNTIFS function to count the number of applications   that meet
  two conditions: Residences in the range B11:B67 are In State and Final Decisions in the
  range J11:J67 are Early Admissions (cell E3).

 

 

You want to identify the highest   score based on two conditions.
 

  In cell H7, insert the MAXIFS function to identify the highest score in the   range I11:I67 that meets two conditions: Residences in the range B11:B67 are In State and Final Decisions in the   range J11:J67 are Early Admissions (E3).

 

 

In cell H8, insert the   AVERAGEIFS function to calculate the average score in the range I11:I67 that   meets two conditions: Residences in the range B11:B67 are In State and Final   Decisions in the range J11:J67 are *Adm*. Use the asterisks as wildcards so that it   includes both Early Admission and Admit.

 

In cell I5, insert the   AVERAGEIFS function to calculate the average SAT score that meets two   conditions: Scores in the range I11:I67 are greater than or equal to 3500 and Final Decisions in the   range J11:J67 are Early Admissions (cell E3). Use mixed references   appropriately.

 

In cell I6, insert the   AVERAGEIFS function to calculate the average SAT score that meets two   conditions: Residences in the range B11:B67 are In State and Final Decisions in the range   J11:J67 are Early Admissions (cell E3). Use mixed references appropriately.

 

Copy the functions from the   range I5:I6 to the range J5:J6.

 

You want to insert a map that   depicts admissions by state.
 

  Display the Map worksheet. Create a map chart from the range A1:B5. Change   the chart title to Admissions by State. Display the Format Data Series task pane and   select Only regions with data as the map area.

 

You want to place the top-left   corner of the map in cell C1 and change the map size.
 

  Cut the map and paste it in cell C1. Set 3.12″ height and 3.26″ width for the map.

 

Create a footer with your name   on the left side, the sheet name code in the center, and the file name code   on the right side on all sheets.

 

Save and close Exp19_Excel_Ch07_ML1_Admissions.xlsx.   Exit Excel. Submit the file as directed.

Discussion 300 words

 

Web servers are compromised for a number of reasons which may include any of the following: Improper file or directory permissions, installing the server with default settings, unnecessary services enabled, security conflicts, a lack of proper security policies, improper authorization with external systems, default accounts with default or no passwords, unnecessary default, backup, or sample files, misconfigurations, bugs in server software, OS, or web applications, misconfigured SSL certificates and encryption settings, administrative or debugging functions that are enabled or accessible on web servers or the use of self-signed certificates and/or default certificates.

Select one of these compromises and explain how it could be avoided.

LIT101 week 2a

For this discussion board you will identify the elements of short stories within some of the most famous short stories around the world.

Review the following document Short Stories.docx Download Short Stories.docxand read at least two of these short stories.

Then, using ONE of the stories, analyze it further by answering the following questions for your initial response. 

Background of Story (one paragraph):

  • Which author and short story did you choose?
  • Give a brief description and background of the author. 
  • Give a short summary of the plot of the story. 

Analysis of Short Story (3-4 paragraphs, one page)

Choose at least four of the following questions to discuss about your chosen short story.

  • Did you enjoy the story? Why or why not?
  • Is the title appropriate for this story? Why or why not?
  • What characteristics did the story have that made it a good story? Give examples from your readings to support your point of view/ 
  • Who is the main character? Describe the main character and how the author conveyed these characteristics. 
  • What is the conflict in the story? How does the story resolve this conflict?
  • What is the defining moment (climax) of the story?
  • What is the setting of the story?
  • From what point of view is the story told?
  • Was there anything in the author’s bio that might have explained the subject matter or tone of the story?

Review at least 5 (five) of the following readings and/or multimedia presentations. You should focus your attention on the elements of a short story as well as the characteristics of what makes a good story and storyteller. Please note, sometimes there are different terms for elements of a short story. For assignment and testing purposes, we will use the last reading of this list for consistency.

  1. The Art of Storytelling | Patrick Wallace | TEDxChadwickSchoolThe Art of Storytelling | Patrick Wallace | TEDxChadwickSchool (Links to an external site.)The Art of Storytelling | Patrick Wallace | TEDxChadwickSchool
  2. Introduction to storytelling https://www.khanacademy.org/partner-content/pixar/storytelling/we-are-all-storytellers/v/storytelling-introb (Links to an external site.)
  3. 10 steps to mastering the art of storytelling – TrekkSoft https://www.trekksoft.com/en/blog/10-steps-to-mastering-the-art-of-storytelling (Links to an external site.)
  4. The Art of Storytelling https://thequintessentialmind.com/the-art-of-storytelling/ (Links to an external site.)
  5. Fundamentals of Story Structure https://writingcooperative.com/fundamentals-of-story-structure-e199f131a891 (Links to an external site.)
  6. How to Write a Great Short Story – The 8-Point Story ArcHow to Write a Great Short Story – The 8-Point Story Arc (Links to an external site.)How to Write a Great Short Story - The 8-Point Story Arc
  7. The Psychology of What Makes a Great Story: https://www.brainpickings.org/2016/01/20/jerome-bruner-actual-minds-possible-worlds-storytelling/ (Links to an external site.)
  8. Terminology: Elements of a Short Story (this will be the standard language we will use): https://www.dreamerswriting.com/wp-content/uploads/2018/05/Elements-of-a-Story-Explained.pdf

FireFold – EcoFlow Solar Panel

 FireFold is a one-stop-shop for EcoFlow Solar Panels and all kinds of genuine networking accessories such as sleek socket ultra-thin electrical outlet cover, ethernet cables, Chargers, IOT Installations, and much more. Shop now! 

Python GUI, Tkinter

This is task to create a maze runner game using Tkinter. As I will be running it in auto grader I want the code’s to be as it is said in the a3.pdf following every guideline with Inline comments that all significant blocks of code should have a comment to explain how the logic works, and informative docstrings that every class, method and function should have a docstring that summarises its purpose.

Research paper

  

In this assignment, you are to critically read and evaluate a scholarly article’s strengths, weaknesses, and contributions to the study field. Learning how to critique a journal article has several benefits, including preparing you for publishing in the future and keeping you current on the literature in your field of study. The practical application is developing the ability to look at research within your organization and industry with a knowledgeable, critical eye.

The University of the Cumberlands (UC) Library subscribes to many journals and provides you access to appropriate collections to support this assignment. Using the UC Library, locate and review the following peer-reviewed articles:

  • Dysvik,      A & Kuvaas, B. (2013). Intrinsic and extrinsic motivation as      predictors of work effort: The moderating role of achievement goals. British      Journal of Social Psychology, 52(3), 412–430.      https://doi.org/10.1111/j.2044-8309.2011.02090.x.
  • Aydogmus,      Metin Camgoz, S., Ergeneli, A., & Tayfur Ekmekci, O. (2018).      Perceptions of transformational leadership and job satisfaction: The roles      of personality traits and psychological empowerment. Journal of      Management & Organization, 24(1), 81–107. https://doi.org/10.1017/jmo.2016.59
  • Fitzsimmons,      Callan, V. J., & Paulsen, N. (2014). Gender disparity in the C-suite:      Do male and female CEOs differ in how they reached the top? The      Leadership Quarterly, 25(2), 245–266. https://doi.org/10.1016/j.leaqua.2013.08.005 
  • Flocco,      Canterino, F., & Cagliano, R. (2021). Leading innovation through      employees’ participation: Plural leadership in employee-driven innovation      practices. Leadership (London, England), 17(5),      499–518. https://doi.org/10.1177/1742715020987928
  • Kuenzi,      Mayer, D. M., & Greenbaum, R. L. (2020). Creating an ethical      organizational environment: The relationship between ethical leadership,      ethical organizational climate, and unethical behavior. Personnel      Psychology, 73(1), 43–71. https://doi.org/10.1111/peps.12356
  • de      Reuver, Van de Voorde, K., & Kilroy, S. (2021). When do bundles of      high performance work systems reduce employee absenteeism? The moderating      role of workload. International Journal of Human Resource      Management, 32(13), 2889–2909. https://doi.org/10.1080/09585192.2019.1616594

Following your review, choose one article from this list; critically evaluate the article’s strengths, weaknesses, and contribution to the study field using the outline below as a guide:

Cover page

· The cover page will include:

o Articles Title and Author (s)

o Name of Journal (s)

o Date of publication

o Your name

Executive Summary

  • Summarize the significant aspects of the entire article,      including:

·  

o The overall purpose and general area of study of the article.

o The specific problem being addressed in the study.

o The main findings of the article.

Literature Review

  • Briefly summarize the overall themes presented in the      Literature Review.

·  

o Was the literature review applicable to the study, current and thorough?

o Were there gaps in the literature review?

Data Analysis

·  

o Identify the methodology used: qualitative, quantitative, mixed? Was the chosen methodology appropriate for the study? Why or why not?

o Did the data analysis prove or disprove the research questions? Explain.

Results/Conclusion

· In this section, you will address the following:

o Describe the article’s relevance to the field of knowledge.

o Outline the strengths and weaknesses of the article. Be specific.

o Based on the article, what future research do you think needs to be accomplished in this area?

o What are your key points and takeaways after analyzing the article?

Proper APA in-text citation must be used. The review is to be word-processed double spaced, not less than two pages, and no more than five pages in length. Paper length does not include the cover page, abstract, or references page(s)

Exp19_Excel_Ch07_Cap_Real_Estate | Excel Chapter 7 Real Estate

  

You are the office manager for a real estate company in northern Utah County. You tracked real estate listings, including city, agent, listing price, sold price, etc. Agents can represent a seller, a buyer, or both (known as dual agents). Your assistant prepared the spreadsheet structure with agent names, agent types, the listing and sold prices, and the listing and sold dates. You want to complete the spreadsheet by calculating the number of days each house was on the market before being sold, agent commissions, and bonuses. In addition, you will use conditional functions to calculate summary statistics. For further analysis, you will insert a map chart to indicate the average house selling price by city. Finally, you will create a partial loan amortization table and calculate cumulative interest and principal to show a potential buyer to help the buyer make decisions.

     

The   spreadsheet contains codes (BA, DA, SA) to represent agent roles (Buyer’s   Agent, Dual Agent,   Seller’s Agent). You want to switch the codes for the actual descriptions.
  In cell E12 of the Details sheet, insert the SWITCH function to evaluate the   agent code in cell D12. Include mixed cell references to the codes and roles   in the range J2:K4 for the values
  and results arguments. use all cell references in the function. Copy the   function to the range E13:E39.

 

 

Now you want to calculate the   number of days between the list date and sale date.
 

  In cell J12, insert the DAYS function to calculate the number of days between   the Listing Date and the Sale Date. Copy the function to the range J13:J39.

 

You want to calculate agent   commissions based on their role.
 

  In cell K12, insert the IFS function to calculate the agent’s commission   based on the agent code and the applicable rates in the range L2:L4. Use   relative and mixed references correctly. Copy the function to the range   K13:K39.

 

 

You want to calculate a bonus if   the sold price was at least equal to the listing price, and if the house sold   within 30 days after being listed.
 

  In cell L12, insert an IF function with a nested AND function to calculate a   bonus. The AND function should ensure both conditions are met: Sold Price   divided by the Listing Price is greater than or equal to 100% (cell L7) and   the Days on Market are less than or equal to 30 (cell L8). If both conditions   are met, the bonus is $1,000 (cell L9). Otherwise, the bonus is $0. Use mixed   cell references to the input values in the range L7:L9. Copy the function to   the range L12:L39.

 

The top-left section of the   spreadsheet is designed for summary statistics for one condition. You will   calculate average selling prices and the number of houses sold in each city   (the condition).
 

  In cell B2, insert the AVERAGEIF function to calculate the average Sold Price   for houses in the city of Alpine. Use mixed references for the range; use a   relative reference to cell A2. Copy the function and use the Paste Formulas   option to paste the function in the range B3:B5 so that the bottom border in   cell B5 is preserved.

 

You want to count the number of   houses in one city.
 

  In cell C2, insert the COUNTIF function to count the number of houses in the   city of Alpine. Use mixed references for the range; and use a relative   reference to cell A2. Copy the function and use the Paste Formulas option to   paste the function in the range C3:C5 so that the border in cell C5 is   preserved.

 

You want to calculate the total commissions   for each agent (the condition).
 

  In cell B7, insert the SUMIF function to total the commissions by agent. Use   mixed references for the ranges; and use a relative reference to cell A7.   Copy the function and use the Paste Formulas option to paste the function in   the range B8:B9 so that the borders are preserved.

 

The top-middle section of the   spreadsheet is designed for summary statistics for multiple conditions. You   will calculate the number of houses sold for each agent when he or she served   as a Dual Agent (DA). Use mixed references for ranges and the agent code   condition in cell J3. Use relative cell references to the agent condition in   cell E2. When you copy the formulas, use the paste Formulas options to   preserve border formatting.
 

  In cell F2, insert the COUNTIFS function in cell F2 to count the number of   houses sold by the first agent (cell E2) who was a Dual Agent (DA) (J3) for   that house. Use all cell references in the function. Copy the function to the   range F3:F4 and preserve the bottom border for cell F4.

 

You are ready to calculate the   total value of those houses for each agent when he or she served as a Dual   Agent (DA). Use mixed references for ranges and the agent code condition in   cell J3. Use relative cell references to the agent condition in cell E2. When   you copy the formulas, use the paste Formulas options to preserve border   formatting.
 

  In cell G2, insert the SUMIFS function to sum the selling prices of the   houses sold by the first agent (cell E2) who was a Dual Agent (DA) (J3) for   that house. Copy the function to the range G3:G4 and preserve the bottom   border for cell G4.

 

Now, you will calculate the   highest-price house highest-price house sold for each agent when he or she   served as a Dual Agent (DA). Use mixed references for ranges and the agent   code condition in cell J3. Use relative cell references to the agent   condition in cell E2. When you copy the formulas, use the paste Formulas   options to preserve border formatting.
 

  In cell H2, insert the MAXIFS function in cell H2 to display the highest-price   house sold by the first agent (cell E2) who was a Dual Agent (DA) (J3) for   that house. Copy the function to the range H3:H4 and preserve the borders in   the range H3:H4.

 

The Map worksheet contains a   list of cities, postal codes, and average house sales. You will insert a map   chart to depict the averages visually using the default gradient fill colors.
 

  Display the Map worksheet, select the range B1:C5 and insert a map chart.

 

Cut the map chart and paste it   in cell A7. Set a 2.31″ height and 3.62″ width.

 

You want to enter a meaningful   title for the map.
 

  Change the map title to Average Selling Price by Zip Code.

 

Display the Format Data Series   task pane, select the option to display only regions with data, and show all   labels. Close the task pane.

 

You are ready to start   completing the loan amortization table.
 

  Display the Loan worksheet. In cell B8, type a reference formula to cell B1.   The balance before the first payment is identical to the loan amount. Do not   type the value; use the cell reference instead. In cell B9, subtract the   principal from the beginning balance on the previous row. Copy the formula to   the range B10:B19.

 

Now, you will calculate the   interest for the first payment.
 

  In cell C8, calculate the interest for the first payment using the IPMT   function. Copy the function to the range C9:C19.

 

Next, you will calculate the   principal paid.
 

  In cell D8, calculate the principal paid for the first payment using the PPMT   function. Copy the
  function to the range D9:D19.

 

Rows 21-23 contain a summary   section for cumulative totals after the first year.
 

  In cell B22, insert the CUMIPMT function that calculates the cumulative   interest after the first year. Use references to cells A8 and A19 for the   period arguments.

 

The next summary statistic will   calculate the principal paid after the first year.
 

  In cell B23, insert the CUMPRINC function that calculates the cumulative   principal paid after the first year. Use references to cells A8 and A19 for   the period arguments.

 

Rows 25-28 contain a section for   what-if analysis.
 

  In cell B27, use the RATE financial function to calculate the periodic rate   using $1,400 as the
  monthly payment (cell B26), the NPER, and loan amount in the original input   section.

 

In cell B28, calculate the APR   by multiplying the monthly rate (cell B27) by 12.

 

Create a footer with your name   on the left side, the sheet name code in the center, and the file name code   on the right side of each worksheet.

Cloud Computing

What you learned about the topic (Cloud computing)

Why you selected the topic(Cloud computing)

How you will utilize the topic in the future(Cloud computing)

Written research paper

  • Why the predictive analytic component is going to be implemented by noting the problem that you are trying to solve, noting how your team will solve the problem with the selected method (this must be a thorough in-depth analysis), and also present your findings using a power point presentation.
  • Note any Big Data Challenges or other technology or cultural challenges you may face and how you will mitigate these challenges in your presentation.