Quantitative Reasoning I Project: Selecting a Topic

mathscenarios.xlsx

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

	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

	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

	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

	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