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Statistical Analysis as a Function of Time, 2002.
This paper is an overview of the field of statistical analysis as a discipline, which is a function of time.
5,963 words (approx. 23.9 pages), 27 sources, APA, $ 141.95
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Abstract
This paper discusses statistical analysis as a dynamic form of study that evolves over time to meet developing needs and to exploit developing capabilities and technologies. The author points out that statistical analysis is the process through which data becomes knowledge and is a science to assist one in making decisions under conditions of uncertainty. The paper relates that the most appropriate logic bases for the discipline of statistical analysis in the contemporary period are rational, quantitative, positivist and causality.
Table of Contents
Introduction: Reflections on Statistics
Reviewing Statistical Analysis
Defining Statistical Analysis
Alternative Logic Bases for Statistical Analysis
Rational Model versus Naturalistic Model.
Quantitative Model versus Qualitative Model.
Positivist Model versus Normative Model.
Causality Model versus Plausibility Model
Exploratory Model versus Confirmatory Model.
Randomization Model.
Conclusion: Reviewing Statistical Analysis.
Examining the Classical Model of Statistical Analysis
Descriptive Statistical Analysis
Exploratory Statistical Analysis
Inferential Statistical Analysis
Probability Theory and Classical Statistical Analysis
Conclusion: Classical Statistical Analysis
From the Paper
"Descriptive statistical analysis describes the performance or activity of one group or class, without attempting to generalize about other groups or classes. Classification, description, and measurement are activities applicable to variables associated with social research. The classification of variables is based on an assumption that social units are comparable within the context of specific definitional criteria. A social researcher attempts to control variation through the classification of variables. The description of variables is an effort to assign some degree of uniqueness to each variable, in order to provide a basis for the establishment of relationships among variables. The measurement of the extent of the uniqueness of variables generates the quantitative indicators of the strength of the relationships between variables. The process of classification, description, and measurement facilitates the development of causal explanations for both regularities and variations in empirical phenomena. Comparisons are made according to the degree of differentiation of structure in data in relation to a common and less differentiated point of origin. Such comparability is dependent upon both the classification of the social unit and the dimension of that social unit that is being measured. The dimension is the variable being measured."
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Functionalism and Neo-Functionalism, 2005.
This paper compares the ideas of functionalism and neo-functionalist schools in international relations.
920 words (approx. 3.7 pages), 6 sources, $ 31.95
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Abstract
This paper defines functionalism and neo-functionalism in international relations. The author includes references to these ideas and the work of David Mitrany and Jean Monnet.
From the Paper
"The political theory known as functionalism refers to that policy of shifting responsibility for resolving problems from the nation-state to international bodies indirectly by ..."
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Statistical Information in Hospitals, 2007.
This paper discusses the merits of collecting statistical data in a hospital or healthcare setting.
845 words (approx. 3.4 pages), 3 sources, APA, $ 30.95
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Abstract
The paper relates that in the course of a hospital shift, healthcare personnel can track possible infection sources by compiling statistical data on occurrence rates for infectious cases. The paper explains that such data can reveal areas for improvement and possible sources of infection or sources of greater risk exposure. The paper concludes that by redesigning a hospital's strategic approach to its inventory of equipment, the hospital gains a more efficient utilization rate, a safer environment and an increase in its operating margins.
Outline:
Abstract
Overview
Types of Statistical Data
Recommendations for Statistical Data
Benefits for Expanding Data Collection
Conclusion
From the Paper
"The healthcare system and hospitals in particular have experienced an increased rate of nosocomial infections that is simply not sustainable both from a quality perspective and from a liability perspective (Utrup, Werner, & Frey, 2003). The identified root cause of these increasing infection rates is often found to be inefficient equipment practices within the hospital. Because hospital equipment is exposed to an enormous amount and variety of diseases and environmental pollutants within the context of a medical facility, proper maintenance and procedural care for equipment is essential. Failure to adequately address these concerns not only exposes the hospital or healthcare facility to a greater degree of legal and regulatory consequences but, most importantly, exposes patients, staff, and visitors to unnecessary levels of contaminants."
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Statistical Report, 2006.
This paper is intended to solve several statistical problems related to death rates caused by heart disease and cancer.
675 words (approx. 2.7 pages), 2 sources, $ 26.95
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Abstract
This paper presents a number of statistical calculations related to death rates for cancer and heart disease from 1985 through 2006. The raw data is plotted and graphed. The resultant lines are then analyzed as functions and predictions are made for future rates according to the data. Several word questions are answered related to the data and graphs.
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Statistical Information in OB Nursing, 2005.
Examines statistical information gathered in OB units.
1,125 words (approx. 4.5 pages), 3 sources, $ 44.95
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Abstract
The area of statistical data gathering on which this paper focuses is that of patients from OB units, or mothers who have recently undergone care during labor, delivery and the postnatal period. Various statistical information that can be gathered from OB patients is discussed, suggestions are made for additional information that could be collected, some concerns are discussed regarding issues of privacy that come along with information collection, and the advantages of improving decision making by collecting information are looked at.
From the Paper
"There are many reasons for health care providers to collect and interpret data taken from their outgoing patients. Some of these might include bettering the facility's ability to provide care and services, to better avoid infections or complications that may be common occurrences, and to give the patient/consumer a say in the quality and development of their care and the health care system, as a whole. The area of statistical data gathering on which this paper will focus is that of patients from OB units, or mothers who have recently undergone care during labor, delivery, and the postnatal period."
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Statistical Methods and Corporate Performance, 2002.
Examines the role of statistical methods in measuring corporate performance.
2,400 words (approx. 9.6 pages), 5 sources, $ 89.95
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Abstract
This paper in business statistics examines the usage of statistical methods in corporate performance measurement. It concludes that statistics have a central place in measuring corporate performance.
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Statistical Education, 2004.
An examination of the importance of learning statistics and how it can help in every aspect of life.
3,102 words (approx. 12.4 pages), 7 sources, MLA, $ 90.95
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Abstract
This paper explains how, in schools, statistical education is primarily taught in mathematics, yet statistical ideas are used in other subjects, including science and economics. It discusses why teachers and researchers need to constantly work towards improving statistical education, leading to a great deal of research in the field. This paper examines existing research to determine how statistical education research can be improved in the future.
From the Paper
"Statistical education has become an important part of curriculums in all levels of education. At both the undergraduate and graduate levels, statistical literacy is now a key objective in many classrooms. As a result, statistics is now being taught across various disciplines and is rapidly becoming a prerequisite course for graduation, regardless of a student's major. The teaching and learning of statistics has recently increased dramatically in many schools. As a result, many U.S. states now emphasize and include statistical thinking in their statewide curriculum guidelines."
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Statistical Procedures, 2008.
A discussion of the content of "Statistical Procedures and the Justification of Knowledge in Psychological Science," written by R. Rosnow and R. Rosenthal, analyzed through three readings of the article.
1,182 words (approx. 4.7 pages), 1 source, MLA, $ 40.95
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Abstract
This paper presents three readings of the article, "Statistical Procedures and the Justification of Knowledge in Psychological Science," written by R. Rosnow and R. Rosenthal. It provides a quick overview of common problems in the first reading, discusses the problems that they highlight in the second reading and discusses the suggestions that they propose in the third reading.
Table of Contents:
First Reading
Second Reading
Third Reading
From the Paper
"On a positive note, Rosnow and Rosenthal offer a number of suggestions for improving academic research. First, they claim that meta-analysis is needed in order to determine the true relationships behind data, and not just new interpretations. The process for this is outlined as one in which researchers check each other's work and run new quantitative analyses on the same data in order to determine whether the data is in fact valid. The effort here should be to further research, not to nit pick. They point out that researchers should "cumulate data not conclusions." In doing so, they argue, researchers will improve the general condition of the professional approach to data because they will be forced to justify their own data in stronger terms (as others will be checking them). They also conclude that researchers will have to do their own legwork in compiling the reviews of literature and presume that this will help further the field as a whole because researchers will not rely on surface analysis and narrative reviews, but will instead apply more rigorous methods of analysis."
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Statistical methods, 2005.
An analysis of statistical analysis forecasting methods.
675 words (approx. 2.7 pages), 3 sources, $ 26.95
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Abstract
The paper discusses the two statistical analysis forecast methods. The paper explains how they can both be used to trend market areas, one on a broad basis, while the other can be extremely detailed and therefore, more accurate.
From the Paper
"Although there are many approaches to determining accurate forecasting there is one approach, which can be used when little data is available on a local level. This approach is known as the "build up" method and when applied is used to gain basic market information (i.e. market population, product market share and product demand percentage). This data is used to determine market size potential within a given area and is based on the entire market, not segments (Barnett, 1988, p. 28). In addition to this the "build up" method does not take into consideration the initial goals of the company but takes into consideration market conditions only. An example of build up forecasting would show total consumer sales on automobiles across the nation."
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Statistical Analysis of Irregularities in the 2000 Election, 2001.
The following paper is a statistical analysis of the results of the 2000 presidential election, through regression analysis and hypothesis testing to call into question the validity of the results.
3,208 words (approx. 12.8 pages), 2 sources, MLA, $ 92.95
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Abstract
The following paper draws into question the results of the vote in Florida in the 2000 presidential election. The data set is drawn from the Florida Department of State. The purpose of this paper is not to address a value judgement, rather it is an attempt to investigate whether the differentials in the recount are statistically significant, indicating the presence of some sort of irregularity.
From the Paper
"19th century elections were characterized by accusations of dirty politics and election fraud. Increasingly in the 20th century, counting procedures became more accurate, communication improved and, seemingly, election results should be reported expeditiously and without question of accuracy. However, several weeks after our nation?s most critical election, a gamut of irregularities, particularly in Florida, whose electoral votes will determine the outcome of the election, has delayed the recognition of a winner. With George W. Bush?s lead vacillating well under one thousand votes, an adjustment of a decidedly small proportion of the votes could change the outcome of the election. This paper discusses two of the irregularities that render Bush?s seeming victory in the state uncertain."
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Uses of Statistical Information, 2008.
A look at the importance of statistical information in nursing.
857 words (approx. 3.4 pages), 3 sources, APA, $ 30.95
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Abstract
This paper discusses the use of statistics in the nursing profession, stating the advantages of proper decision-making, and discussing the types of information that should and should not be collected. The author also presents four types of information that are collected and their relevance to nursing practice.
Outline:
Introduction
Advantages of Proper Decision-Making
From the Paper
"As nurses, we are confronted with fairly unique patient presentations in nearly every case. To some extent, we rely on our training and experience to assist us in making decisions about the best care for a patient. It is part of our ethical responsibility to insure good patient care, and to allocate scarce medical resources to insure that the sickest patients get the most attention.
"To the extent that we can develop procedures that have been tested and proven to work best in the past, we are bringing the best care to our patients. This care can be and should be tested in clinical trials to insure that the experience of thousands of healthcare specialists has been systematically followed."
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Statistical Analysis Applied to Unemployment Problems, 1990.
This paper explains the application of statistical procedures to the solution of a realistic problem; in this paper, the U.S. unemployment problem.
1,800 words (approx. 7.2 pages), 6 sources, $ 63.95
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From the Paper
'The purpose of this research is to explain the application of statistical procedures to the solution of a realistic problem. In this instance, the problem is related to the domestic economy of the United States.
THE PROBLEM
The level of unemployment is a matter of significant concern to both the general public and political leaders. In order to develop effective policies to address the unemployment issue, it is necessary to understand how the unemployment rate is related to other factors. It is this problem which is addressed in this research.
HYPOTHESES
A total of six hypotheses were formulated for, and tested in ... "
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Statistical Information in a Hospital Setting, 2006.
A discussion regarding the use of hospital equipment and the rate and cost of nosocomial infections.
1,125 words (approx. 4.5 pages), 0 sources, $ 44.95
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Abstract
This document discusses several types of statistical data that a hospital might employ to improve operations. It specifically examines the statistical data related to equipment usage rates as well as to the statistical presence of nosocomial infection rates. The argument is that by employing such statistical data a hospital administrative management can better identify the source of such costly nosocomial infections as well as improve equipment inventory levels that result in a higher return on investment per item.
From the Paper
"Hospitals rely on all manner of statistical data related to such diverse issues as patient care to simple maintenance issues. Because of the high costs of medical care, hospitals must continually refine their use of statistical data in order to hone management's decision making skills and to ensure that operations are aligned with long-term strategies. One of the most important types of statistical data that hospitals increasingly track is equipment usage rates because most hospital equipment and technology is cost-inhibitive and therefore hospitals cannot afford to inventory excessive amounts of equipment or technology. In order to ensure adequate return on investment (ROI), accurate statistical usage must be employed to maximize usage rates. "
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The Statistical Lie, 2007.
This paper explores how statistics can often be misleading and delusional.
1,065 words (approx. 4.3 pages), 3 sources, MLA, $ 37.95
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Abstract
The paper relates that one of man's greatest fears is that of the power of numbers. The paper demonstrates how statistics are used to misrepresent, under-represent or over-represent an event, occurrence, situation or phenomenon. The paper defines statistics as a set of numeric values obtained by way of a measurement process. This process can be either one of observation or direct testing. The paper reveals that the most widely used means whereby researchers lie is with statistics, usually for increased profits and sensationalism. The paper illustrates how companies can use a self-selecting population for survey results, or they use obscure definitions and data sets that mislead consumers.
From the Paper
"For most people numbers are nothing more than a hodgepodge of digits that are bewildering and oftentimes meaningless. As a result individuals often prefer to judge events, occurrences, phenomena, and situations from a traditionalist point of view wherein reason, conclusion, and inferences are made on the basis of past experiences rather than on best practices policies. Justification for historical acceptance is usually based on a fear of numbers and a lack of willingness to extract meaningful information from them. For those accepting of the alternatives, statistical tools have been devised wherein it is possible to extract meaningful information from data and interpret whatever the data holds as its' secret."
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Research Design and Statistical Analysis, 2003.
Reviews concepts and issues.
2,700 words (approx. 10.8 pages), 7 sources, $ 95.95
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Abstract
Discusses background and definitions, theory in scientific inquiry, applications of quantitative statistical methods, descriptive statistics, statistical inference techniques, internal validity, measuring instruments, and reliability.
From the Paper
"This paper reviewed concepts and issues involved in research design and statistical analysis. The discussions covered ..."
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