Uses of statistical information paper
HCS 438
Jennifer Scott
December 6, 2010
Pam Bennett
Uses of statistical information paper
When working with uses of statistical information there is as few topics individuals and organizations need to know and these are how are statistics used in the workplace, what is one example of descriptive statistics used in the workplace and what is one example of inferential statistics used in the workplace. Plus how is data at each of the four levels of measurement used in the workplace? If the workplace does not use all four levels, describe how such data could be used. What are the advantages of accurate interpretation of statistical information to improve decisions making in the
…show more content…
The ones between basic conditioning factors and the concepts of health-promoting self-care behaviors, self-care agency (Donna Callaghan, 2005).
Now how some of this analyst is determining all of this? The way analyst are determine organizations use different statistics and one of them are descriptive statistics this is used to describe the data of basic features in a study. This describes what is going on in the data and is used to present quantitative descriptions in a manageable from (M.K. William, 2006). For example take college students and there is two ways this can happen, take college students and go by the year they are in college, listing the number or percent of males and females. Then the raw scores are grouped into categories according to ranges of values. For example the GPA according to the letter grade range or group income into four or five ranges of income values (M.K. William, 2006). Another statistics is determined is by using inferential statistics this is used when organizations are trying to reach conclusions that extend beyond the immediate data alone (M.K. William, 2006). This also concentrates on experimental and quasi-experimental research that designs or in a program outcome evaluation (M.K. William, 2006). For example use inferential statistics to help make judgments of the probability which an observed difference between
Statistics are being used everyday to describe things in working and studying areas to show the productivity of the results they are hoping for. Therefore, people observe and notice alternative objects the world around. Throughout this fact, similarities and differences are such features that could endanger or turned out as advantages. This is called statistics. Explanations of the word “statistics” are “ information based on a study of the number of times something happens or is present or other numerical facts” (Cambridge Advanced Learner’s Dictionary, 3rd
In this paper, I will speak about what I would’ve learned about statistics if I had an instructor that was helpful and fostered the spread of education. Statistics is making sense of common data and knowing when you use data analysis techniques, and formulas while making connections between them. Statistics enables the collection, analysis, interpretation, presentation, and organization of data. According to David Hand (2016), “One good working definition of statistics might be that it is the technology of extracting meaning from data” (p. 2). There are several elements that are instrumental in the study statistics that will be discussed in this paper that include by are not limited to descriptive statistics, inferential statistics, hypothesis development and testing, selection of appropriate statistical tests and evaluating statistical results.
According to (Anthony Robbins, 2010) “The way we communicate with others and with ourselves ultimately determines the quality of our lives”. It is imperative that in any organization there needs to be a detailed and efficient flow of information. Communications is the key for a business to be successful, and it provides the solid foundation needed to construct a solid business process. One other very important part of communications in a company is the flow of that information which ultimately produces the results whether good or bad. This paper will describe how information is used and how it flows at Document Logistic Agency (DLA)
Many interesting points are presented in this book with an assortment of interesting ways the book introduces serious issues surrounding statistics as it relates to influencing outcomes that are of very high importance in people’s lives. One example is the idea of manupilation of health statistics that are made to present trends in cancer that was the focus of one of the statistical analysis reports that followed patients over a period of time but failed to give a description of how the statistic model was carried out. The insusing outcome was never explained to be based on random sampling information that was collected over a period of time that did not cover the time period of a given time that would be deliver of good statistical results. The book boost on pretence. It could be interpretered as being a primer in ways to use statistics to deceive an audience by those individuals who might be of the persuasion to take the information and run with the examples to sell points and ideas that otherwise might not fly in our everyday world. It is in away a simple and effective statistical device to impress readers about how much people can be duped by the statistics in many ways by the use of “word average”- mean, median, or a mode model as a vehicle for the collection of data. This book is definitely concise while being practical in its development and presentation. It is also witty and unique in that it introduces concepts in ways that are sellable to the
Provide a brief definition of each of the following statistics. You may write out the equations if you like, but you should demonstrate that you understand the statistic’s meaning and how it is used as a tool for research results analysis and/or research design. Mean, Median, Mode, Range, Variance, Standard Deviation, Z-score, Significance Level, Confidence Interval, Between sum of squares, Within sum of squares, Correlation coefficient.
Statistics can bе dеscribеd as sciеncе involvеd in thе application of quantitativе principlеs to thе collеction, dеscription, intеrprеtation, and prеsеntation of numеrical data, as wеll as thе mеaning of collеctеd data within thе rеalm of businеss, and is also commonly used for marketing procedures. Statistics is basically a set of tools that allow us to get information out of data sets (we will get to the more formal definition below). (Talton 2017, lecture notes week 1 para 1) Statistics generally deals with thе main businеss еlеmеnts and thе planning procеss of thе data that havе bееn collеctеd through thе dеvеlopmеnt of survеys as wеll as additional tеsts (McClave, Dietrich & Sincich, 2007). Next, “we can define statistics as “the
“Statistics is a mathematical science concerned with the collection, presentation, analysis and interpretation or explanation of data.” (Black et. al, 2013).
Statistics are the collection, presentation and interpretation of data. Statistics is a branch of mathematics and is a mathematical analysis of data or observations. Statistics also provide tools to predict and forecast based on the data collected and is applicable to not only businesses but to science, health and government (Stine & Foster, 2014).
Orem’s Self-Care Deficit Theory (SCDNT) is complex and contains various parts that help to explain how self-care can influence the overall health status of an individual. The basics of SCDNT can be broken down into four interconnected parts: theory of self-care, theory of dependent care, theory of self-care deficit, and theory of nursing systems (Berbiglia & Banfield, 2014). Each theory can be integrated into how the nurse will interact and plan care for patients. The nurse meets the patient’s self-care needs by teaching, demonstrating, and supporting the patient in performing basic self-care practices.
When faced with an analysis of a situation which deals with a population, an analyzer will incorporate both descriptive and inferential statistics to evaluate his or her results and create a credible conclusion. Descriptive statistics provides information focused on an immediate group of data. After defining what needs to be analyzed, the descriptive statistics will help the analyzer abridge the data to a more meaningful and comprehendible form, which will then provide patterns in his or her research that, will provide a foundation to his or her thesis. For example, a person could use descriptive statistics to evaluate the answers on an exam taken by 400 American students, and use descriptive statistics to determine the overall performance
In a previous essay that was written in my statistics class I was able to synthesize information on statistics and understand how its methods were used to real world problems such as the Human Genome project. The Human Genome Project started in 1990, this project is very beneficial to our society because it has a positive influence on human health. The project objective is to decode the DNA sequence and placement of the genes. Researchers collected blood from females and sperm from males and a total of five people DNA were used for this study. The intentions of the Human Genome Project were to deliver mapping and sequencing for the human genome and genomes of model organisms, data gathering and
On the other hand, statistics is the study of collecting, analyzing, interpreting, presenting, and organizing data. A statistical procedure involves testing the relationship of the two variables and forming a hypothesis. This leaves the experimenter with valid information to further the experiment. It also provides them with essentials for controlling the course of scientific and societal advances. Statistics can be found everywhere. Many jobs that require the individual to make decisions, cannot be made without statistical techniques.
First point that will make in this essay is about the methods of collecting data. To gain the results and conclusion for hypotheses, there
INTRODUCTION (CHAPTER 1 – MUNRO E-BOOK) Know the definition of population, sample, parameter, & statistic Be able to identify and/or provide examples of descriptive statistics & inferential statistics Know the properties of & be able to identify or provide examples of quantitative vs. categorical variables BASIC CONCEPTS (CHAPTER 2 – MUNRO E-BOOK) Know the definition of data, individuals, variables, independent variable, dependent variable, random assignment, treatment group, and control group. Know the properties of the 4 levels of measurement (nominal, ordinal, interval, ratio) Know the properties of discrete and continuous variables Know and understand the properties that distinguish experimental methods from
The use of statistical analysis is something that has become critical in today 's society. You cannot visit a grocery store or watch television without being introduced to some statistical information that was just discovered: the rising number of teen pregnancies, the average salary of a large corporations ' CEO, or something more subtle such as the fluctuations of political opinions. There are millions of dollars being spent to analyze information that is readily available for anyone looking, in order to condense this knowledge into a more manageable form. Data is meaningless to most people unless it has been refined into readable figures and graphs, and laid out so that the important bits are visible.