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Apply Quantitative Reasoning

I have a quantitative analysis I need answers to. Attached are the steps and template. I also need an histogram 

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 and paste from another document.)

DATA

Workforce Profile Analysis
Section 1: Complete all Columns in Data Set
Format for: Windows User: Format cells in column according to indicated format.
Number Date General Currency Currency Number General Number General Number Number Number Text General
mm/dd/yy
Year Ending Vested Yr
12/31/19 10
Emp # Hire Date Role Salary Hrly Rate Yrs of Svc Ed Age Vested Race Gender Status State Region
4000 4/23/15 Sr Cyber Investigator $92,267 19 35 3 1 1 IL
4004 7/13/02 Cyber Analyst $111,801 16 60 3 1 1 IL
4010 11/25/18 Forensics Analyst $90,688 16 23 1 2 2 PA
4012 1/26/10 Cyber Analyst $95,985 14 43 1 1 1 NE
4013 12/29/11 Cyber Analyst $100,520 19 44 3 1 1 IL
4014 10/2/11 Forensics Analyst $125,156 19 31 1 1 1 IL
4015 1/1/12 Cyber Analyst $78,475 16 40 3 1 2 PA
4020 5/9/11 Cyber Analyst $93,518 14 39 1 1 1 PA
4022 5/27/04 Cyber Analyst $69,529 16 53 3 1 1 PA
4023 2/6/14 Advertising $128,384 16 28 1 2 2 NE
4025 12/12/14 Cyber Mgr $151,174 16 38 3 1 1 PA
4027 8/19/06 Sr Cyber Investigator $71,914 16 51 1 1 1 NE
4029 6/5/11 Cyber Analyst $152,446 14 36 4 1 2 IL
4030 7/10/11 IT Staff $57,727 16 51 3 1 1 IL
4031 10/20/13 Cyber Software Engineer $78,869 16 39 3 1 1 PA
4034 5/21/06 IT Staff $90,930 19 45 3 1 1 PA
4037 9/13/13 Forensics Analyst $67,866 14 25 3 1 2 PA
4038 4/14/12 Cyber Analyst $64,580 16 40 1 1 1 PA
4039 5/30/13 Cyber Analyst $91,771 16 30 3 1 2 PA
4044 12/3/15 Cyber Analyst $59,219 14 35 3 1 2 NE
4045 6/7/16 Physical Security $32,367 12 25 3 2 2 NE
4046 9/4/06 Cyber Analyst $115,974 16 54 1 1 1 PA
4055 6/17/18 IT Staff $99,786 14 31 1 2 2 PA
4060 2/1/12 Sr Cyber Investigator $73,650 19 42 3 1 1 IL
4061 2/28/12 Cyber Analyst $154,933 16 34 3 1 2 PA
4064 1/18/16 Cyber Analyst $144,571 16 36 4 1 2 PA
4067 10/29/12 Malware Reverse Engineer $124,996 16 49 2 1 2 PA
4068 7/15/03 Cyber Analyst $145,776 16 59 3 1 1 IL
4070 4/4/17 Forensics Analyst $80,191 16 28 1 1 1 PA
4075 10/2/16 Forensics Analyst $75,053 14 25 3 1 2 IL
4078 7/15/09 Cyber Analyst $83,851 16 51 1 1 1 PA
4082 7/2/15 Cyber Analyst $82,411 16 37 3 1 1 IL
4086 9/18/07 Cyber Analyst $114,721 14 51 3 1 1 PA
4088 7/18/17 Public and Business Office Team $108,342 16 34 3 2 1 IL
4089 10/16/16 Cyber Software Engineer $81,050 16 36 3 1 1 PA
4090 11/15/15 Cyber Analyst $87,641 14 33 4 1 2 IL
4092 7/7/08 Forensics Analyst $98,943 16 36 3 1 1 PA
4093 8/25/10 Cyber Analyst $93,936 19 47 3 1 2 NE
4095 12/31/04 Cyber Analyst $133,678 16 52 3 1 1 PA
4097 2/26/07 Cyber Analyst $162,731 16 53 1 1 2 IL
4104 7/21/08 Logistics $71,690 16 51 3 2 1 PA
4106 5/7/17 Public and Business Office Team $150,263 16 57 3 1 1 IL
4107 11/5/13 Cyber Analyst $78,334 19 34 3 1 1 PA
4118 8/13/17 IT Mgr $154,933 16 24 3 1 1 IL
4119 8/31/16 Cyber Analyst $86,384 16 26 3 1 2 IL
4120 8/30/13 Sr Cyber Investigator $127,190 16 34 3 1 1 IL
4121 8/31/11 Cyber Analyst $148,111 16 36 2 1 1 NE
4122 8/4/14 Cyber Analyst $86,147

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