QR Questions_Responses
Apply Quantitative Reasoning
Now that you have completed your analysis, think about the patterns you have seen in the workforce.
In this final section, you will answer five questions and write a short essay.
1. From the created histogram, it appears that a large share of employees have a salary between $61,000–$110,000 or $131,000–$170,000. This may indicate a reasonable promotion rate for new and seasoned employees. Is this distribution unimodal or bimodal? Please explain.
2. The line chart, as detailed in your "Graph Charts" Excel spreadsheet, shows sales generally increasing over the years, although sales in the first two years were notably lower. Assuming that the sales are linear, please use the Forecast tool to find projected sales for 2020 thru 2024. Hint: An easy way to do this is to highlight the sales from the data page and apply the Forecast tool to this data or use the forecast function in excel. You will generate a chart on a new sheet with projected sales; rename this sheet "Projected Sales".
3. The standard deviation provides insight into the distribution of values around the mean. If the standard deviation is small, in general, the more narrow the range between the lowest and highest value. That is, values will cluster close to the mean. From your descriptive statistics, describe your standard deviations of Salary, Hryly Rate, Yrs Worked, Education, and Age. What does this tell you about the variables?
4. The company has a keen interest in the educational, race, and gender makeup of its workforce. Its emphasis is on a diverse, dynamic workforce. From your "Graph Charts" spreadsheet, describe your pie chart findings for these characteristics of the workforce. Describe how you would determine if the company was meeting expectations on these characteristics.
5. The company is conducting an analysis on how many positions to create to keep up with demand. Specifically, it wants to know an estimate of the number of positions per job title. From your Excel chart, identify the mode of the job title distribution. Describe your findings.
FINAL ESSAY:
Now that you have done all the work with data, you will write a short three- to four-paragraph summary of your analysis. This is important. While you have done a wonderful job with your analysis, you can never assume that the end user will be able to interpret the data the way it should be understood. Supporting narrative is helpful. Never simply provide a "raw data" dump. Instead, seek to provide information!
Structure your essay like this:
a. Write a one-paragraph narrative summary of your findings, describing patterns of interest.
b. Provide an explanation of the potential relevance of such patterns.
c. Provide a description of how you would investigate further to determine if your results are "good or bad" for the company.
Prepare your response in this workbook. (Simply expand this text box to accommodate your essay and other answers, or you can copy .
QR Questions_Responses Apply Quantitative ReasoningNow that yo.docx
1. QR Questions_Responses
Apply Quantitative Reasoning
Now that you have completed your analysis, think about the
patterns you have seen in the workforce.
In this final section, you will answer five questions and write a
short essay.
1. From the created histogram, it appears that a large share of
employees have a salary between $61,000–$110,000 or
$131,000–$170,000. This may indicate a reasonable promotion
rate for new and seasoned employees. Is this distribution
unimodal or bimodal? Please explain.
2. The line chart, as detailed in your "Graph Charts" Excel
spreadsheet, shows sales generally increasing over the years,
although sales in the first two years were notably lower.
Assuming that the sales are linear, please use the Forecast tool
to find projected sales for 2020 thru 2024. Hint: An easy way to
do this is to highlight the sales from the data page and apply the
Forecast tool to this data or use the forecast function in excel.
You will generate a chart on a new sheet with projected sales;
rename this sheet "Projected Sales".
3. The standard deviation provides insight into the distribution
of values around the mean. If the standard deviation is small, in
general, the more narrow the range between the lowest and
highest value. That is, values will cluster close to the mean.
From your descriptive statistics, describe your standard
deviations of Salary, Hryly Rate, Yrs Worked, Education, and
Age. What does this tell you about the variables?
4. The company has a keen interest in the educational, race, and
gender makeup of its workforce. Its emphasis is on a diverse,
dynamic workforce. From your "Graph Charts" spreadsheet,
describe your pie chart findings for these characteristics of the
workforce. Describe how you would determine if the company
2. was meeting expectations on these characteristics.
5. The company is conducting an analysis on how many
positions to create to keep up with demand. Specifically, it
wants to know an estimate of the number of positions per job
title. From your Excel chart, identify the mode of the job title
distribution. Describe your findings.
FINAL ESSAY:
Now that you have done all the work with data, you will write a
short three- to four-paragraph summary of your analysis. This is
important. While you have done a wonderful job with your
analysis, you can never assume that the end user will be able to
interpret the data the way it should be understood. Supporting
narrative is helpful. Never simply provide a "raw data" dump.
Instead, seek to provide information!
Structure your essay like this:
a. Write a one-paragraph narrative summary of your findings,
describing patterns of interest.
b. Provide an explanation of the potential relevance of such
patterns.
c. Provide a description of how you would investigate further to
determine if your results are "good or bad" for the company.
Prepare your response in this workbook. (Simply expand this
text box to accommodate your essay and other answers, or you
can copy and paste from another document.)
DATAWorkforce Profile AnalysisSection 1: Complete all
Columns in Data SetFormat for:
Windows User: Format cells in column according to indicated
format.
NumberDateGeneralCurrencyCurrencyNumberGeneralNumberG
7. Mgr$79,0631440321IL43698/31/05Cyber
Analyst$156,7501651312NE43772/12/08Cyber
Analyst$151,5231656111IL43807/1/17Cyber Software
Engineer$104,7931425321NE438112/29/11Cyber
Analyst$112,2231644311IL43824/29/12Public and Business
Office Team Mgr$79,5911247311PA438312/16/09Eng
Mgr$175,9161444311NE43859/25/08Malware Reverse
Engineer$74,0391949312IL43867/19/08COO$154,9331943312I
L43878/20/15Public and Business Office
Team$91,4441961411PA438810/16/14Public and Business
Office
Team$119,1561641311PA43939/2/15Admin$108,0581637412IL
43945/6/18Forensics
Analyst$89,1971421312NE43951/4/18Public and Business
Office
Team$71,6971432311PA439612/10/12Advertising$101,3411439
322PA43975/20/13Cyber
Analyst$84,1751637311PA44018/25/03IT
Staff$76,3051655111PA440212/7/18Acctg/Fin$152,0301625321
NE44059/27/12Cyber Software
Engineer$54,0801944212NE44066/10/13Sr Cyber
Investigator$116,0751937112IL440711/20/08Cyber
Analyst$73,0051443311PA44095/1/12Cyber
Analyst$112,4021441211IL44106/20/15Cyber
Analyst$68,2221929312PA44119/25/14Cyber Software
Engineer$95,1281942321IL441312/21/16IT
Staff$95,6221936211PA44187/11/04CEO$239,3151958311PA4
41912/17/06Cyber
Analyst$70,2371657211PA44212/12/15Logistics$64,201163431
1IL44236/20/15Cyber
Analyst$102,6411429111NE44242/23/16Sr Public and Business
Office Team Mgr$107,1531651321NE44282/6/10Cyber
Analyst$73,6401645311PA44291/28/10IT
Staff$68,6471450311NE44356/17/17Public and Business Office
Team$141,1101637121IL443610/5/04Controller$71,727195032
1IL443811/18/09Forensics
14. PlainsTOTALSection 3: Complete Descriptive StatisticsBe sure
to include the correct units where applicable for the summary
statistics belowDescriptive StatisticsSalaryHrly RateYrs of
SvcEdAgeFrequency Table by Salary RangesMeanBin Range /
Upper LimitLabelMedian20000Up to 20Graph on next
TabMode3000021-30Std Deviation4000031-
40Variance5000041-50Kurtosis6000051-60Skewness7000061-
70Max -8000071-80Min =9000081-90Range10000091-
100Sum110000101-110Count120000111-120130000121-
130140000131-140150000141-150160000151-160170000161-
170180000171-180190000181-190200000191-200200+
After studying the module content and suggested resources,
create a document in MS Word in which you:
1. Make a quick search about different types of online fraud.
2. Use different sources to craft an essay where you explain
how database management, data mining, its role, and database
management systems play a role in the selected type of fraud
3. You should organize your written work into the following
sections:
a. Cover page
b. Table of Contents
c. Introduction
d. Body (subtopics)
e. Conclusion
f. References
3. Explore the options in the Word program to create the
following elements in the document:
a. The document must contain a minimum of (five) pages and a
maximum of 10 pages.
b. 1st page: Cover page (include your information, essay title,
etc.)
c. 2nd page: Automatic table of contents (must demonstrate the
use of the Word tool to create automatic tables of contents).
d. 3rd page: Organize and format content using at least (three)
different text styles. E.g.: headings 1, headings 2, headings 3,
15. etc.
e. Last page(s): Automated references in APA style (must
demonstrate the use of the citation and references tool
integrated into Word).
f. One (1)-inch margins throughout the document.
Be sure to review the
academic expectations for your submission.
Submission Instructions:
· Submit your assignment by 11:59 p.m. ET on Sunday.
· Contribute a minimum of three (3) pages. It should include at
least two (2) academic sources, formatted and cited in APA