# Quantitative Reasoning I Project: Selecting A Topic

The purpose of this assignment is to get you to think about what types of data-oriented problems you will be solving in your chosen career. In this assignment, you select a topic and an associated problem to solve. You will continue to work on analyzing and solving this problem throughout the remainder of this course.

Select a topic from the Quantitative Reasoning I Project Topics and Scenarios workbook. After opening the file, access the topics along with their data sets and problems by clicking the individual worksheet tabs near the bottom of the workbook. For t

## Topic 1 – Health & Nursing

 Health Services and Nursing Scenario Topic 1 Predicting the Number of Babies Born Scenario 1 Review the data involving the number of babies born in Humboldt County from 2006-2015. Predict the number of babies who will be born in 2018. Year Babies Born in Humboldt County 2006 275 2007 280 2008 320 2009 366 2010 358 2011 336 2012 375 2013 390 2014 455 2015 487

## Topic 2 – Criminal Justice

 Security and Criminal Justice Scenario Topic 2 Predicting the Number of People Arrested for Drug Possession Scenario 2 Review the data involving the number of people arrested for drug possession from 2006-2015. Predict the number of people who will be arrested for drug possession in 2018. Year People Arrested for Drug Possession 2006 1,519,760 2007 1,361,658 2008 1,321,824 2009 1,387,915 2010 1,179,728 2011 1,143,931 2012 1,237,708 2013 1,203,323 2014 982,169 2015 801,560

## Topic 3 – Hum. & Sciences

 Humanities and Sciences Scenario Topic 3 Predicting Student Smartphone Usage Scenario 3 Review the data involving the average number of hours students spent on their smartphones from 2002-2015. Predict the number of hours students will spend on their smartphones in 2018. Year Average Number of Hours Students Spend on their Smartphones 2002 0.1 2003 0.75 2004 1 2005 1.5 2006 1.75 2007 5.5 2008 6 2009 9.3 2010 9.5 2011 8.9 2012 9 2013 11 2014 12.5 2015 10.6

## Topic 4 – Social Sciences

 Social Sciences Scenario Topic 4 Predicting Test Performance Based on Sleep Scenario 4 Review the data involving the number of hours students sleep and their average score on a test they take the next day. Predict the optimal hours of sleep students need the night before a test to achieve the highest score on the test. Hours of Sleep Average Score on Test 4 55 4.25 40 4.5 53 4.75 59 5 60 5.25 63 5.5 66 5.75 75 6 70 6.25 72 6.5 80 6.75 77 7 85 7.25 90 7.5 100 7.75 95 8 88 8.25 85 8.5 74 8.75 88 9 90 9.25 87 9.5 86 9.75 95 10 82

 Business Scenario Topic 5 Predicting Fuji Apple Purchases Scenario 5 Review the monthly data involving Fuji apples purchased at a large grocery store. Predict how many Fuji apples will need to be in stock to have available for the customers in December (month 12)? Month Fuji Apples Purchased Hint: When determining the solution to this question remember that amounts needed in a store will go up around holidays. Seasonality is a characteristic of a time series in which the data experiences regular and predictable changes that recur every calendar year. Any predictable change or pattern in a time series that recurs or repeats over a one-year period can be said to be seasonal. 1 5,325 2 5,648 3 5,873 4 9,842 5 8,234 6 9,421 7 10,123 8 9,784 9 10,443 10 9,564 11 10,147

## Topic 6 – Education

 Education Scenario Topic 6 Elementary Education: Math Skills Scenario 6 Review the data involving elementary students in Apache County who passed the AZ Merit Test from 2006-2015. Predict the number of students who will pass the AZ Merit test in 2018. Fiscal Year Students in Apache County who Pass the AZ Merit Test 2006 12 2007 7 2008 14 2009 18 2010 25 2011 37 2012 33 2013 39 2014 45 2015 42

Review the data sets help document if you need assistance with locating all of the data sets.

Compose a 175-word response that addresses the following questions:

topic chosen is Health services and nursing scenario see excel sheet attached

• What topic did you choose?
• Why does it interest you?
• What do you hope to discover in your analysis?