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Mapping Elections
1. Identify at least three types of maps (e.g., choropleth map,
cartogram, proportional symbol map, etc) used to represent
information relevant to Presidential elections (these uses might
be during each party’s primary competition, after candidates are
picked but prior to the election, on the day of the election, or
for post-election analysis). Find a specific online example of
each and provide a URL for the map. Refer to your text for the
kinds of maps that are possible and if you identify a map type
not covered in your text, be sure to note that is a type not
covered, and briefly explain the characteristic of this map type.
2. Identify the kinds of data that are used for each map type.
What is the data source in each case and was that an appropriate
source (why)? Are there any better data sources and if so what
are they and what makes them better?
3. For each map type, identify at least one key decision that the
author made about how to portray the data. Again, refer to your
text and other sources for ideas on what the key decisions might
be.
4. Produce a critical evaluation of the example(s) you pick to
represent each of the three map types you identify. Focus on
any geographic information collection, processing,
representation issues that are appropriate as well as on how the
author uses the map. For the former, things to consider include
whether the map type is appropriate to the data type (e.g.,
nominal, ordinal, interval, ratio; derived versus raw data; etc.);
whether any data classification method applied is appropriate
and if so whether it is done correctly; whether the specific
symbolization choices (colors, sizes, etc) are reasonable; etc.
Consider how the map is described by the author and what (if
anything) they claim it shows. If they do not make any explicit
claims, consider the context in which the map appears and
discuss what you believe the motivation for using the maps was
and whether this map use was both appropriate and supportable
based on ideas you have learned this term. If any of the maps
are dynamic (animated or interactive), consider the
effectiveness or usability of the dynamic map components. Be
sure to include screen shots of each map discussed in your
report as well as URLs to the original.
Producing the Project Report
· You may prepare your report in one of two formats: Microsoft
Word (.doc) or Adobe Acrobat (.pdf).
· Project reports should include a title page and be formatted so
that images are legible.
Instructors cannot evaluate reports that contain blurry, shrunken
images. If necessary, change your page orientation or size in
page setup to make room for full-sized, legible images.
· Remember that you must include two in-line citations, a
correctly formatted bibliography, and acknowledge where you
obtained your map(s).
1
PHASE 1
Scenario of NCLEX Memorial Hospital where records of the
patients with infectious disease are studied in this paper, client
number, infection disease status and age of the patient are
recorded. Patients are faced with the same infectious disease.
The age of the patients is the vital issue which is considered in
statistical calculation. The data shows that there are 60 patients
who are faced with the same infectious disease according to
NCLEX Memorial Hospital, the age of the patients range from
35 years of age to 76 years of age.
All variables can be classified as quantitative variables. The
quantitative variable in the data set is the age patients.
Quantitative variable represent a measurable quantity because
they are numerical. For example, the age of the patients are
attained because it can be numbered. Therefore, age would be a
quantitative variable. The continuous variable is the number of
patients that range from 1 to 60; the number of the patient
would be an example of a continuous variable, since the patient
age could take on any value between 1 and 60. Infectious
disease variable represent a discrete variable, when a patient is
admitted he/she can be either infected or not infected.
The levels of measurements are the interval, nominal and the
ordinal level of measurement. In the interval level first
quantitative application of numbers happens. Observations are
classified into mutually exclusive and comprehensive categories
that have some clear relationship among them, and the
relationship between the categories is known and exact. Ordinal
level of measurement uses symbols to classify observations into
categories that are not only mutually exclusive and
comprehensive, (Christmann,2009). In addition, the categories
have some clear relationship among them. Nominal level
measurement also uses symbols to classify observations into
mutually exclusive so that observations does not fall into more
than one category and comprehensive categories so that
observations falls into some category.
Mean, median and mode are the measurement of center. The
importance is to find the average of everything: that is finding
the average age by giving the idea of what is most common in
the data. The most vital thing is calculating the middle of the
group observed. Examples of measures of variation are range,
variance, and standard deviation and the major uses are to
estimate the corresponding parameter.
Mean = 3709/60
=61.82 this means that when the sum of age is calculated,
is same as 60 lots of 61.82
Median
= (61+62)/ 2 =61.5
This shows the middle age of the patients infected with the
disease.
Mode
=69, this is the most appearing number which means
the infectious disease affect so many people at this age.
Midrange
= (76 + 35)/ 2
=55 this is the mean of the minimum and maximum of the
values.
The Range is the difference between the lowest and highest
values.
(76-35)=
Range= 55.5
Variance
=79.64
Standard deviation is the square root of standard deviation
=square root of variance 78.32
=8.924
Scheming data in a frequency distribution shows the general
shape of the distribution and gives a general sense of how the
numbers are clustered. Several statistics can be used to
represent the "center" of the distribution. These statistics are
commonly referred to as measures of central tendency, (Helsel,
1993). The range and standard deviation are all measures that
show the amount of variability within a dataset. The range is the
easiest measure of variability to calculate but can be confusing
if the dataset contains extreme values.
NamesPatient #Infectious
DiseaseAge1Yes692Yes353Yes604Yes555Yes496Yes607Yes72
8Yes709Yes7010Yes7311Yes6812Yes7213Yes7414Yes6915Yes
4616Yes4817Yes7018Yes5519Yes4920Yes6021Yes7222Yes702
3Yes7624Yes5625Yes5926Yes6427Yes7128Yes6929Yes5530Ye
s6131Yes7032Yes5533Yes4534Yes6935Yes5436Yes4837Yes60
38Yes6139Yes5040Yes5941Yes6042Yes6243Yes6344Yes5345Y
es6446Yes5047Yes6948Yes5249Yes6850Yes7051Yes6952Yes5
953Yes5854Yes6955Yes6556Yes6157Yes5958Yes7159Yes7160
Yes68
G310 Advanced Statistics and Analytics – Option 2
Introduction:
As a healthcare professional, you will work to improve and
maintain the health of individuals, families, and communities in
various settings. Basic statistical analysis can be used to gain
an understanding of current problems. Understanding the
current situation is the first step in discovering where an
opportunity for improvement exists. This course project will
assist you in applying basic statistical principles to a fictional
scenario in order to impact the health and wellbeing of the
clients being served.
This assignment will be completed in phases throughout the
quarter. As you gain additional knowledge through the didactic
portion of this course, you will be able to apply your new
knowledge to this project. You will receive formative feedback
from your instructor on each submission. The final project will
be due on week 10.
Scenario:
You are currently working at NCLEX Memorial Hospital in the
Infectious Diseases Unit. Over the past few days, you have
noticed an increase in patients admitted with a particular
infectious disease. You believe that the ages of these patients
play a critical role in the method used to treat the patients. You
decide to speak to your manager and together you work to use
statistical analysis to look more closely at the ages of these
patients. You do some research and put together a spreadsheet
of the data that contains the following information:
· Client number
· Infection Disease Status
· Age of the patient
You need the preliminary findings immediately so that you can
start treating these patients. So let’s get to work!!!!
Background information on the Data:
The data set consists of 60 patients that have the infectious
disease with ages ranging from 35 years of age to 76 years of
age for NCLEX Memorial Hospital. Remember this assignment
will be completed over the duration of the course.
Mean- Mean = 3709/60
=61.82 this means that when the sum of age is calculated,
is same as 60 lots of 61.82
·
Median-
= (61+62)/ 2 =61.5
This shows the middle age of the patients infected with the
disease.
·
Mode- =69, this is the most appearing number which means the
infectious disease affect so many people at this age.
·
Midrange-= (76 + 35)/ 2
=55 this is the mean of the minimum and maximum of the
values.
The Range is the difference between the lowest and highest
values.
(76-35)=
·
· Range 55.5
Variance- =78.32
·
· Standard Deviation- 8.924

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  • 1. Mapping Elections 1. Identify at least three types of maps (e.g., choropleth map, cartogram, proportional symbol map, etc) used to represent information relevant to Presidential elections (these uses might be during each party’s primary competition, after candidates are picked but prior to the election, on the day of the election, or for post-election analysis). Find a specific online example of each and provide a URL for the map. Refer to your text for the kinds of maps that are possible and if you identify a map type not covered in your text, be sure to note that is a type not covered, and briefly explain the characteristic of this map type. 2. Identify the kinds of data that are used for each map type. What is the data source in each case and was that an appropriate source (why)? Are there any better data sources and if so what are they and what makes them better? 3. For each map type, identify at least one key decision that the author made about how to portray the data. Again, refer to your text and other sources for ideas on what the key decisions might be. 4. Produce a critical evaluation of the example(s) you pick to represent each of the three map types you identify. Focus on any geographic information collection, processing, representation issues that are appropriate as well as on how the author uses the map. For the former, things to consider include whether the map type is appropriate to the data type (e.g., nominal, ordinal, interval, ratio; derived versus raw data; etc.); whether any data classification method applied is appropriate and if so whether it is done correctly; whether the specific symbolization choices (colors, sizes, etc) are reasonable; etc.
  • 2. Consider how the map is described by the author and what (if anything) they claim it shows. If they do not make any explicit claims, consider the context in which the map appears and discuss what you believe the motivation for using the maps was and whether this map use was both appropriate and supportable based on ideas you have learned this term. If any of the maps are dynamic (animated or interactive), consider the effectiveness or usability of the dynamic map components. Be sure to include screen shots of each map discussed in your report as well as URLs to the original. Producing the Project Report · You may prepare your report in one of two formats: Microsoft Word (.doc) or Adobe Acrobat (.pdf). · Project reports should include a title page and be formatted so that images are legible. Instructors cannot evaluate reports that contain blurry, shrunken images. If necessary, change your page orientation or size in page setup to make room for full-sized, legible images. · Remember that you must include two in-line citations, a correctly formatted bibliography, and acknowledge where you obtained your map(s). 1 PHASE 1
  • 3. Scenario of NCLEX Memorial Hospital where records of the patients with infectious disease are studied in this paper, client number, infection disease status and age of the patient are recorded. Patients are faced with the same infectious disease. The age of the patients is the vital issue which is considered in statistical calculation. The data shows that there are 60 patients who are faced with the same infectious disease according to NCLEX Memorial Hospital, the age of the patients range from 35 years of age to 76 years of age. All variables can be classified as quantitative variables. The quantitative variable in the data set is the age patients. Quantitative variable represent a measurable quantity because they are numerical. For example, the age of the patients are attained because it can be numbered. Therefore, age would be a quantitative variable. The continuous variable is the number of patients that range from 1 to 60; the number of the patient would be an example of a continuous variable, since the patient age could take on any value between 1 and 60. Infectious disease variable represent a discrete variable, when a patient is admitted he/she can be either infected or not infected. The levels of measurements are the interval, nominal and the ordinal level of measurement. In the interval level first quantitative application of numbers happens. Observations are classified into mutually exclusive and comprehensive categories that have some clear relationship among them, and the relationship between the categories is known and exact. Ordinal level of measurement uses symbols to classify observations into categories that are not only mutually exclusive and comprehensive, (Christmann,2009). In addition, the categories have some clear relationship among them. Nominal level measurement also uses symbols to classify observations into mutually exclusive so that observations does not fall into more than one category and comprehensive categories so that observations falls into some category. Mean, median and mode are the measurement of center. The importance is to find the average of everything: that is finding
  • 4. the average age by giving the idea of what is most common in the data. The most vital thing is calculating the middle of the group observed. Examples of measures of variation are range, variance, and standard deviation and the major uses are to estimate the corresponding parameter. Mean = 3709/60 =61.82 this means that when the sum of age is calculated, is same as 60 lots of 61.82 Median = (61+62)/ 2 =61.5 This shows the middle age of the patients infected with the disease. Mode =69, this is the most appearing number which means the infectious disease affect so many people at this age. Midrange = (76 + 35)/ 2 =55 this is the mean of the minimum and maximum of the values. The Range is the difference between the lowest and highest values. (76-35)= Range= 55.5 Variance =79.64 Standard deviation is the square root of standard deviation =square root of variance 78.32 =8.924 Scheming data in a frequency distribution shows the general shape of the distribution and gives a general sense of how the numbers are clustered. Several statistics can be used to represent the "center" of the distribution. These statistics are commonly referred to as measures of central tendency, (Helsel, 1993). The range and standard deviation are all measures that show the amount of variability within a dataset. The range is the easiest measure of variability to calculate but can be confusing
  • 5. if the dataset contains extreme values. NamesPatient #Infectious DiseaseAge1Yes692Yes353Yes604Yes555Yes496Yes607Yes72 8Yes709Yes7010Yes7311Yes6812Yes7213Yes7414Yes6915Yes 4616Yes4817Yes7018Yes5519Yes4920Yes6021Yes7222Yes702 3Yes7624Yes5625Yes5926Yes6427Yes7128Yes6929Yes5530Ye s6131Yes7032Yes5533Yes4534Yes6935Yes5436Yes4837Yes60 38Yes6139Yes5040Yes5941Yes6042Yes6243Yes6344Yes5345Y es6446Yes5047Yes6948Yes5249Yes6850Yes7051Yes6952Yes5 953Yes5854Yes6955Yes6556Yes6157Yes5958Yes7159Yes7160 Yes68 G310 Advanced Statistics and Analytics – Option 2 Introduction: As a healthcare professional, you will work to improve and maintain the health of individuals, families, and communities in various settings. Basic statistical analysis can be used to gain an understanding of current problems. Understanding the current situation is the first step in discovering where an opportunity for improvement exists. This course project will assist you in applying basic statistical principles to a fictional scenario in order to impact the health and wellbeing of the clients being served.
  • 6. This assignment will be completed in phases throughout the quarter. As you gain additional knowledge through the didactic portion of this course, you will be able to apply your new knowledge to this project. You will receive formative feedback from your instructor on each submission. The final project will be due on week 10. Scenario: You are currently working at NCLEX Memorial Hospital in the Infectious Diseases Unit. Over the past few days, you have noticed an increase in patients admitted with a particular infectious disease. You believe that the ages of these patients play a critical role in the method used to treat the patients. You decide to speak to your manager and together you work to use statistical analysis to look more closely at the ages of these patients. You do some research and put together a spreadsheet of the data that contains the following information: · Client number · Infection Disease Status · Age of the patient You need the preliminary findings immediately so that you can start treating these patients. So let’s get to work!!!! Background information on the Data: The data set consists of 60 patients that have the infectious disease with ages ranging from 35 years of age to 76 years of age for NCLEX Memorial Hospital. Remember this assignment will be completed over the duration of the course. Mean- Mean = 3709/60 =61.82 this means that when the sum of age is calculated, is same as 60 lots of 61.82 · Median- = (61+62)/ 2 =61.5 This shows the middle age of the patients infected with the disease. ·
  • 7. Mode- =69, this is the most appearing number which means the infectious disease affect so many people at this age. · Midrange-= (76 + 35)/ 2 =55 this is the mean of the minimum and maximum of the values. The Range is the difference between the lowest and highest values. (76-35)= · · Range 55.5 Variance- =78.32 · · Standard Deviation- 8.924