# Quantitative Reasoning II Final Project: Final Presentation

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Question description

The purpose of this assignment is to use skills you have learned throughout all five weeks of the course. You will be able to apply what they have learned to solve a real world problem that you could use to in your future career.

Create a 5- to 6-slide presentation that must include:

• One slide on the Introduction
• Introduce your topic and question that you chose in Week 2.
• Why did it interest you? How does it relate to life?
• What should the audience learn from your presentation?
• Three to four slides of your visuals
• Show your tables, scatter plot, other 2 visuals, calculations, and any other evidence to support your conclusion(s) that you created in Week 3.
• Explain what information in the data tables is not needed for your analysis.
• Discuss what you can conclude from the visuals. How do these visuals support your conclusion?
• One slide for a conclusion
• How confident are you that your conclusion is sound?
• What work would need to be done to increase your confidence?
• Discuss what you learned from this project.

Include detailed speaker notes for each slide.

Your assignment will be graded using the Quantitative Reasoning II Project Rubric.

Please make sure that all bullets are addressed and that every slide has DETAILED SPEAKER NOTES. Attached you will find my topic and visuals. Please feel free to ask me for anything else that you might need. Thank you.

Quantitative Reasoning II Project: Selecting a Topic Olivia Gryko Math/216 Dawn Mcnair June 18, 2018 The topic that I chose is in the security and criminal justice system scenario. Topic two introduces predicting the total U.S. correctional population in the year of 2018. The main reason why I chose this topic is because I am aspiring and studying to become a professional in the criminal justice field. I know that there are many different fields of study under the criminal justice umbrella, but I also know that data and statistics plays a vital role in all of them. By gathering statistics from prior years, analysts can identify patterns that can, in turn, be used to predict a close estimate of future numbers. For example, in this scenario, I am sure that finding these numbers helps to evaluate budgets for prisons, eliminate costs, and find out how well the correctional system is really working. All these major concerns can be solved through the gathering of data and statistics, which makes quantitative reasoning a vital part of my learning process. While working on this project, I hope to attain information through numbers and learn how to make future predictions with these numbers. I will not only be learning how to analyze this data, but hopefully I will make a very good approximation of how many inmates will be held in The United States corrections institutions by the end of this year.
Running head: Calculations and Visual 1 Calculations and Visuals: Olivia Gryko Math/216 Dawn Mcnair June 24, 2018 Calculations and Visual 2 The topic that I chose is in the security and criminal justice system scenario. Topic two introduces predicting the total U.S. correctional population in the year of 2018. By creating three types of visuals: a bar graph, histogram, and pie chart, we can see which one is the most useful for calculating this prediction. Sample data Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 mean Total U.S. correctional population 6467800 6584900 6730900 6886800 6997000 7055600 7199700 7339600 7313600 7235200 7086500 6989200 6945100 6903200 6851000 6972406.667 Calculations and Visual 3 Scatter plot Total U.S. Correctional Population total US correctional population 7400000 7300000 7200000 7100000 y = 3474.1x R² = 0.0498 7000000 6900000 6800000 6700000 6600000 6500000 6400000 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016 year Based on the above scatter plot it is quite evident that the total correctional population was steadily rising between 2000 and 2007. However, after 2007 the population started declining year after year Prediction y = 3474.1x. This implies that the total US correctional population in 2018 will be equal to = 3474.1* 2018 = 7010733.8 = 7010734 R= √0.0498 = 0.223. Therefore, a weak linear relationship exists between a given year and the total U.S correctional population for the given year. This implies that there is a very low likelihood that the total correctional population in the US will be equal to7010734. Even though there is a week linear relationship between year and correctional population, the trend line equation shows that in 2018 the total correctional population in U.S will be 7010734. Calculations and Visual 4 Histogram Total U.S. Correctional Population 7 Frequency 6 5 4 3 2 1 0 Total U.S. correctional population The above histogram shows that underlying frequency distribution of the total U.S, correctional population. It is quite evident that between the year 2000 and 2014, the correctional population in US was mostly 6750001-7000000 Calculations and Visual 5 Pie chart Persons Supervised by U.S. Adult Correctional Systems by Correctional Status 30% probation 58% 12% parole prisoners As per the above pie chart, the highest population supervised by US adult correctional system by correctional status are those on probation accounting for 58% of the total population in the US correctional population, while the lowest being those on parole accounting for only 12%. Calculations and Visual 6 References (2018). Retrieved from https://d3qlakwpo3n83o.cloudfront.net/content/public/02-VIDEO57c466e6d0463b5ca0f0fac1/renditions/57c4830a29bb1adc50e38103/original_700.mp4 Create charts with the Recommended Charts feature. (2018). Retrieved from https://www.lynda.com/Excel-tutorials/Create-charts-Recommended-Chartsfeature/431184/473140-4.html?autoplay=true&m=1
Health Services and Nursing Scenario Topic 1 Scenario 1 Year 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Predicting Expected Medicare Payers Review data of the expected payers that used Medicare between 2003 and 2014. Predict the percentage of expected payers that will use Medicare in 2018. County Humbolt Humbolt Humbolt Humbolt Humbolt Humbolt Humbolt Humbolt Humbolt Humbolt Humbolt Humbolt Zip Code 90001 90001 90001 90001 90001 90001 90001 90001 90001 90001 90001 90001 Medicare payers 35612 37412 39841 40123 43122 44125 51229 59748 57008 56727 57985 63123 Security and Criminal Justice Scenario Predicting Total U.S. correctional population Review the data on persons supervised by U.S. adult correctional systems by correctional status. Scenario 2 Predict the number of the United States population that will be supervised by U.S. adult correctional system in 2018. Topic 2 Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Total U.S. correctional population 6,467,800 6,584,900 6,730,900 6,886,800 6,997,000 7,055,600 7,199,700 7,339,600 7,313,600 7,235,200 7,086,500 6,989,200 6,945,100 6,903,200 6,851,000 Probation 3,839,400 3,934,500 3,995,000 4,073,800 4,140,400 4,162,300 4,236,800 4,293,000 4,270,100 4,196,200 4,053,600 3,969,400 3,940,800 3,910,600 3,864,100 Parole 725,500 731,100 753,100 773,500 775,900 784,400 798,200 826,100 828,200 824,100 840,700 854,600 857,800 855,200 856,900 nario ms by correctional status. sed by U.S. adult Humanities and Sciences Scenario Topic 3 Scenario 3 Year Yearly Tuition 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 \$29,450 \$24,444 \$20,288 \$17,245 \$16,412 \$15,984 \$8,618 \$7,153 \$5,937 \$14,658 \$13,549 \$12,435 Predicted College Tuition and Fees Review college data of the yearly tuition and fees. Predict the cost of yearly tuition and fees in 2018. Books & Supplies \$1,250 \$1,038 \$861 \$732 \$625 \$600 \$1,200 \$996 \$827 \$703 \$699 \$612 Living Costs \$12,400 \$10,292 \$8,542 \$7,261 \$6,532 \$5,899 \$15,682 \$13,016 \$10,803 \$9,183 \$5,771 \$5,256 Yearly Tuition and Fees \$44,190 \$36,679 \$30,442 \$25,876 \$24,112 \$22,984 \$25,770 \$21,389 \$17,753 \$24,702 \$20,142 \$18,415 nario y tuition and fees in 2018. Social Sciences Scenario Predicting Teen Communication Preferences Review the data on communication preferences with teens. Predict how many high school teens will Scenario 4 prefer to use face-to-face communication in 2018. Topic 4 Communication Preference Age School Level 2000 2001 2002 Face to Face Face to Face Face to Face Teen Teen Teen HS HS HS 2003 Face to Face Teen HS 76 2004 Face to Face Teen HS 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 Face to Face Face to Face Face to Face Face to Face Face to Face Face to Face Face to Face Face to Face Face to Face Face to Face Face to Face Teen Teen Teen Teen Teen Teen Teen Teen Teen Teen Teen HS HS HS HS HS HS HS HS HS HS HS 55 49 50 43 42 36 23 30 15 13 8 5 Logarithmic Regression 120 Number of Teens 87 98 Year 86 120 y = -12105ln(x) + 92102 R² = 0.9473 Number of Teens 100 80 60 40 20 0 1998 -20 2000 2002 2004 2006 2008 Year 2010 2012 2014 2016 ario edict how many high school teens will Business Scenario Topic 5 Scenario 5 Year 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 Predicting Tires Purchased Review the yearly data involving tires purchased at a tire shop with declining business. Predict how m tires will need to be in stock to have available for the customers in 2018. Tires Wheels Lugnuts Purchased Purchased Purchased 20,478 20,018 28,592 15,478 18,274 9,967 11,148 13,086 11,148 17,916 14,659 14,659 13,390 9,697 8,080 16,146 25,698 18,425 18,456 32,237 15,132 12,570 21,404 9,173 16,243 14,993 7,184 15,628 18,346 9,852 18,063 14,193 6,999 7,122 3,052 3,713 6,649 3,740 3,586 9,217 4,748 3,994 6,235 3,662 2,733 16,542 12,426 8,145 12,459 8,743 11,405 9,322 5,243 6,033 8,704 4,687 4,491 9,904 4,661 5,028 ng business. Predict how many Education Scenario Topic 6 Scenario 6 Predicting SAT Test Scores Review the data on the average SAT scores of college-bound seniors between 2002 and 2015. Pre seniors in 2018. Average SAT Mathematics of college-bound seniors Year 2002 2003 2004 All students Average White Black Mexican American Puerto Rican Other Hispanic Asian/Pacific Islander American Indian/Alaska Native 2005 2006 2007 2008 2009 540 530 426 460 566 467 529 531 426 458 451 465 530 533 427 457 451 464 522 534 426 457 453 464 531 531 427 458 452 465 523 536 431 463 457 469 525 536 429 465 456 463 530 534 429 466 454 463 565 566 569 575 577 580 578 578 481 479 483 482 488 493 494 494 ario een 2002 and 2015. Predict the average SAT scores of college-bound 2010 2011 2012 2013 2014 2015 525 537 426 463 453 461 520 536 426 463 450 461 519 536 428 467 452 462 516 535 427 466 452 462 518 536 428 465 452 461 514 534 429 464 453 461 581 587 591 595 595 597 491 493 492 488 489 486

Chucks574
School: Cornell University

Thank you so much

Quantitative Reasoning II Project

Olivia Gryko
Math/216
Dawn Mcnair

July 8, 2018

Introduction
• Security is very pivotal to our societies for us to be able to prosper.

• For the above reason, the criminal justice system will be analyzed in an in-depth manner through data on
persons supervised by U.S. adult correctional systems between 2000-2014
• This is in an effort to be able to predict the total US correctional population in 2018

• Security and criminal justice system interests me since, I am aspiring and studying to become a professional
in the criminal justice field.
...

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Anonymous
Totally impressed with results!! :-)

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