MTH216 University Of Phoenix Correctional US population Presentation Create a 5- to 6-slide presentation that must include: One slide on the Introduction

MTH216 University Of Phoenix Correctional US population Presentation 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
Restate your topic and question and give your answer to the scenario.
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.

please see the attachment to help with presentation data 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
Running head: QUANTITATIVE REASONING PROJECT
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QUANTITATIVE REASONING PROJECT
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Quantitative Reasoning Project: Transmitting Information Through the use of Visuals
Title of the project: Predicting total US correctional population
Scenario 2
Background
The present paper uses three different visuals in the representation of the information
about the correctional population, it evaluates the total US correctional population and how this
population has changed over time. In this regard, the proposed analysis builds a linear regression
model based on the US correctional population between 2000 and 2014 and uses this model to
estimate what the correctional population will be in 2018.
Visual 1: Scatterplot
The scatterplot shown in figure 1 contains the information about the correctional
population each of the years. This visual is especially useful in understanding the existing trends.
It shows two distinct regions, in which the correctional population increases (until 2007) and in
which the correctional population decreases (after 2007).
Visual 1. Scatterplot
QUANTITATIVE REASONING PROJECT
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Visual 2: Histogram
Visual 2 shows the histogram resulting from the analysis of the information contained in
the dataset. This visual is useful in identifying the most frequently found correctional population,
as well as the minimum and maximum populations. However, it does not provide temporal
information.
Visual 2. Frequency distribution
Visual 3. Box and whisker plot
Lastly, visual 3 shows the box and whisker plot. This visual provides information about
the average correctional population and the spread, measured through both the quartiles and the
whiskers. It is especially useful for identifying outliers and observing the variability of data.
QUANTITATIVE REASONING PROJECT
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Figure 3. Variability
Forecasting
According to the data shown in figure 1, the model used in the forecast of the correctional
population should only consider the data from 2007 on. Considering how the data after that date
seem to follow a reasonably straight line, the linear regression model seems to be a suitable
method for the estimation of the population in 2018.
The equation for this linear regression model is = 76664 ∗
+ 1.61 ∗ 108 . Substituting the year by 2018, the forecasted population is
= 76664 ∗ 2018 + 1.61 ∗ 108 = 6,492,048.
Central tendency
The central tendency measures of the data are its mean and median values. According to
the data provided, the mean value is of 6,964,257 and the median of 6,967,150. The high
similarity between both values points to a low skewness of the data, confirming that there are no
substantial outliers (Mitchell & Leachman, 2014).
QUANTITATIVE REASONING PROJECT
Reference
Mitchell, M., & Leachman, M. (2014, October 28). Changing Priorities: State Criminal Justice
Reforms and Investments in Education. Retrieved June 23, 2018, from
https://www.cbpp.org/research/changing-priorities-state-criminal-justice-reforms-andinvestments-in-education
5

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